Using an eGPU with a mini PC

Mini PCs have grown in popularity in part due to their small form-factor offering low-powered basic computing with sufficient ports for connectivity. As such they are useful both in commercial settings such as digital signage as well as with consumers needing a small-footprint or VESA-mounted low-cost computer. However, one drawback is their limited graphical performance due to using CPUs with integrated graphics which results in the options for playing games being somewhat restricted and ‘AAA’ titles typically being unplayable.

Lower-priced laptops often share the same drawback and one of the ways that users have addressed their graphical need is by utilizing an external GPU (eGPU) however the commercially available ones are both expensive and require connecting via a Thunderbolt 3 port.

Unfortunately, not many Chinese-made mini PCs currently include a Thunderbolt 3 port however now that they have started to include M.2 NVMe ports this has created the possibility of adding a GPU using a ‘PCIe x16 to M.2 NVMe adapter’.

Examples of the various options available for using a GPU with a mini PC including the choices of configuration and performance impacts especially on gaming are discussed below. Reading the full article is recommended, but if you are short on time, check out the conclusion.

Configuration Options

The primary requirement is to use a standard graphics card that has a PCIe x16 interface. A commercial eGPU is basically a glorified ‘PCIe x16 to Thunderbolt 3 adapter’. This can effectively be replicated through using a ‘PCIe x16 to M.2 NVMe adapter’ combined with a ‘Thunderbolt 3 to M.2 NVMe adapter’ and is suitable for any PC with a Thunderbolt 3 port.

However, if the mini PC doesn’t have the required Thunderbolt 3 port but does have an M.2 NVMe slot then the PCIe adapter can be used in place of the NVMe SSD that occupies the M.2 NVMe slot. Then if there is no further internal storage available it becomes necessary to use external storage for example a ‘USB to M.2 NVMe adapter’ to reuse the NVMe SSD that was replaced by the PCIe adapter.

So as long as the mini PC has an M.2 NVMe slot there are a number of options to connect a GPU:

1. If the mini PC also has a Thunderbolt 3 port
   • Use a GPU in an ‘eGPU’ connected via a Thunderbolt 3 port or
   • Use a GPU in a ‘PCIe x16 to M.2 NVMe adapter’ installed in a ‘Thunderbolt 3 to M.2 NVMe adapter’ connected via a Thunderbolt 3 port or
   • Use a GPU in a ‘PCIe x16 to M.2 NVMe adapter’ installed in an M.2 NVMe slot and either reuse the NVMe SSD by installing it in a ‘Thunderbolt 3 to M.2 NVMe adapter’ connected via a Thunderbolt 3 port or reuse the NVMe SSD by installing it in a ‘USB to M.2 NVMe adapter’ connected via a USB port or use external storage connected via a USB port
2. If no Thunderbolt 3 port:
   • Use a GPU in a ‘PCIe x16 to M.2 NVMe adapter’ installed in an M.2 NVMe slot and either reuse the NVMe SSD by installing it in a ‘USB to M.2 NVMe adapter’ connected via a USB port or use external storage connected via a USB port

Technical Understanding

Without going into too much detail a brief explanation of the underlying technology is useful in understanding why performance is impacted.

In a desktop PC, the discrete graphics card typically uses the PCIe x16 Gen 3 slot on the motherboard, and although Gen 4 slots are becoming available they are not necessarily required at this stage for gaming. A PCIe Gen 3 interface has a per-lane data transfer rate of 8 gigatransfers per second (GT/s) but the bandwidth is reduced by 2/130 percent because it uses an encoding scheme. Therefore a PCIe x16 interface is capable of (8 GT/s * 16) – 2/130% or 15.7538 GB/s whereas a PCIe x4 interface is only capable of 3.938 GB/s. Depending on how the PCIe slot is connected to the CPU there may also be a slight further performance loss when connecting a graphics card in a x4 slot compared to using a x16 slot due to whether the slot is directly connected to the CPU or through the chipset. TechPowerUp biannually tests the effect of PCIe scaling on contemporary high-end graphics cards and some examples of the loss at 1920×1080 resolution include for a GTX 1080 going from an x16 to x4 PCIe via the CPU results in a 4% loss or for PCIe via the chipset the loss is 8%, for an RTX 2080 Ti going from an x16 to an x4 the loss is 9% and for a RTX 3080 going from x16 to x4 (represented by x16 Gen 1.1) the loss is 13%. So unfortunately for mini PC users, a graphics card connected via PCIe x4 is going to lose some performance compared with the performance it is capable of when connected via PCIe x16.

It would also appear that Thunderbolt 3 which is marketed as providing 40 Gbps of external I/O bandwidth would offer enough bandwidth for connecting a GPU. However, this is the maximum bandwidth and is calculated by including display output. Intel states that the maximum one direction data speed for Thunderbolt 3 is 22 Gbps(PDF) and this is achieved through using four lanes of PCIe Gen 3 operating at 4 * 8 Gbps or 32 Gbps from which it reserves 10 Gbps to guarantee the Type-C USB 3.2 Gen 2×1 delivery.  Therefore data transfer over Thunderbolt 3 is only capable of ((8 GT/s * 4) – 10 Gbps) – 2/130% or 2.708 GB/s. The resultant lower throughput (3.938 GB/s for PCIe x4 vs 2.708 GB/s for Thunderbolt 3) means there is going to be a further loss of graphics performance when connecting a GPU via Thunderbolt 3.

Furthermore not all manufacturers implement the full x4 PCIe speed on their Thunderbolt 3 ports but instead only use the minimum of x2. Additionally, there is no guarantee that the device’s BIOS can recognize an eGPU connected via Thunderbolt 3 which is the case with the Minisforum X35G, and so as with laptops, it is a case of ‘caveat emptor’ with mini PCs.

Additionally, Thunderbolt 3 operates through the chipset rather than directly connected to the CPU and there is a Thunderbolt 3 controller at both ends of the cable resulting in latency caused by the chipset, the Thunderbolt 3 controllers, and the length of the cable. There are two types of Thunderbolt 3 cable: passive and active. Cable lengths of up to around 0.5 to 0.8 meter support the maximum data transfer of 40 Gbps and are typically ‘passive’. Greater lengths of up to 2 meters only support a maximum data transfer of 20 Gbps unless they are ‘active’ cables meaning they contain additional circuitry in their connectors required to achieve the maximum of 40 Gbps.

It is also worth noting that USB ports can have different data rates and transfer speeds so for example, a USB 3.2 Gen 2×1 port has a data rate of 10 Gbit/s and transfer speed of 1.21 GB/s.

Finally, the GPU performance depends on many variables such as the GPU and CPU architecture and power, the amount of graphics memory and memory bus width, the clock frequencies, and the application/game design being run. Simplistically the CPU has to process the data before it can be passed to the GPU which will then do the work of rendering frames. If the CPU cannot process the data quickly enough, the GPU regardless of power is always going to be waiting for the CPU creating a situation known as a ‘CPU bottleneck’ or being ‘CPU bound’. Performance degradation for gaming may also proportionately get worse when using a more powerful graphics card as to achieve the higher FPS more bandwidth is required because more data needs to be transferred making it more likely to be affected by the bandwidth limitations identified.

For this article, the testing undertaken concentrates on the performance loss between an eGPU connected via M.2 NVMe slot vs being connected via a Thunderbolt 3 port and does not include testing any loss when comparing an eGPU to a dGPU.

Hardware Overview

The mini PC used for the majority of the testing was an i3 Intel NUC 8 Bean Canyon or NUC8i3BEK:

Primarily this was chosen as it had a low-powered Intel Core i3-8109U processor with an iGPU, a Thunderbolt 3 port, an M.2 NVMe slot, and some USB 3.2 Gen 2×1 ports. Also, it is currently available at the incredibly low-price of AUD 299 (or around USD 210 plus tax). The device was configured with 16GB (2 x 8GB) of G.SKILL Ripjaws DDR4 2400MHz memory and a Kingston A2000 1TB NVMe SSD.

As an example ‘eGPU’ I’ve used an ASUS XG Station Pro which is a Thunderbolt 3 eGPU dock with an included 1.5m active Thunderbolt 3 cable:

For the ‘PCIe x16 to M.2 NVMe adapter’ I used an ADT-Link’s R43SG:

This is better value than just a basic ‘PCIe x16 to M.2 NVMe adapter’ as it includes a stand for the GPU together with all the required power connections. It also needs an additional power supply which can either be a standard PSU power supply or a DELL DA-2 8PIN 12V/18A/220W PSU (aka Dell D220P-01) which can be bought cheaply second-hand:

To connect the R43SG via Thunderbolt 3 I used a JEYI Thunderbolt 3 M.2 NVMe Enclosure (the ‘Thunderbolt 3 to M.2 NVMe adapter’) as this supports double-sided SSDs unlike some competitor adapters:

I also used an ORICO M2PAC3-G20 M.2 NVMe SSD Enclosure (as the ‘USB to M.2 NVMe adapter’):

This supports up to USB 3.2 Gen 2×2 i.e. 20 Gbps and includes both a USB Type-C to Type-C cable and a USB Type-A to Type-C cable. Technically I could have used the 10 Gbps M2PV-C3 model or similar as not many mini PCs support USB 3.2 Gen 2×2 yet.

Finally during testing, I also used a couple of ‘M.2 NVMe to PCIe x4 adapters’: an EZDIY-FAB NVMe PCIe adapter with heatsink:

and a RIITOP PCIe 3.0 x4/x8/x16 to M.2 PCIe NVMe adapter with heatsink

 

Software Overview

For testing the performance of the NVMe SSD I used CrystalDiskMark:

To benchmark the GPU performance I used both 3DMark’s Fire Strike:

and Unigine’s Heaven:

For reviewing gaming performance I used Shadow of the Tomb Raider (SOTTR) as while it is a fairly demanding CPU intensive game it includes a repeatable benchmark with graphics presets:

To confirm the Thunderbolt 3 cables were running at full speed (i.e. 40 Gbps) I used CUDA-Z:

I also used MSI Afterburner/Rivatuner to capture data for CPU, GPU usage and frame rates which were then processed in a spreadsheet.

Testing Undertaken

First of all the NUC8i3BEK mini PC was tested without an eGPU to get a set of baseline results:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
Baseline NUC and iGPU with NVMe via M.2	1846.11	2095.82	1767	1932	19.6	10	8	8

Then a GTX 1650 Super was installed in the XG Station Pro and connected by a Thunderbolt 3 cable to the NUC8i3BEK mini PC with the tests being repeated to get a baseline with the 1650 Super:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
1650 Super in eGPU via TB with NVMe via M.2	1818.91	2091.74	7742	10148	98.9	65	58	47

The first investigation was to see whether a ‘DIY eGPU’ consisting of the R43SG adapter combined with the JEYI adapter could replicate the commercial eGPU without any performance loss:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
1650 Super in R43SG via TB (JEYI) with NVMe via M.2	1846.82	2085.34	7693	10092	98.1	65	58	47

The results are very similar and are within the margin of testing variance indicating this is a feasible eGPU alternative.

Next prior to investigating what the amount of loss is when using Thunderbolt 3 to connect the eGPU some further verification tests were performed. First, the NVMe SSD was moved to the R43SG by installing it in the EZDIY-FAB adapter and the R43SG installed in the M.2 NVMe slot. This shows that the R43SG doesn’t create any performance loss when compared with the initial baseline:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
iGPU with R43SG+EZDIY-FAB+NVMe via M.2	1826.78	2091.47	1764	1934	19.7	10	8	8

However, once the R43SG with the EZDIY-FAB and NVMe SSD is installed in the JEYI and connected via Thunderbolt 3 then the results show that whilst the iGPU graphics performance remains the same the immediate impact can be seen on the SSD performance with a 29% drop in ‘Sequential Read’ and a 41% drop in ‘Sequential Write’:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
iGPU with R43SG+EZDIY-FAB+NVMe via TB (JEYI)	1289.05	1230.79	1769	1942	19.7	10	8	8

which can then be confirmed by simply installing the NVMe SSD in the JEYI:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
iGPU with NVMe via TB (JEYI)	1293.92	1229.93	1763	1932	19.4	10	8	8

A drop in read/write speeds was predicted from the technical explanation above, however, the magnitude seen does not actually represent the loss from using Thunderbolt 3 alone as will be discussed later below.

Finally, keeping the NVMe SSD in the JEYI and installing the R43SG in the M.2 NVMe slot with the GTX 1650 Super shows around a 10% graphical improvement (based on the Firestrike Graphics and Heaven results) when directly connecting the GPU in the R32SG via PCIe or alternatively around a 9% graphical loss when connected via Thunderbolt 3:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
1650 Super in R43SG via M.2 with NVMe via TB (JEYI)	1297.92	1230.51	8287	11306	107.4	73	65	57

This graphical performance gain/loss can also be confirmed by removing Thunderbolt 3 completely through installing the NVMe SSD in the ORICO connected via USB which is also a typical configuration that can be used for a mini PC without a Thunderbolt 3 port:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
1650 Super in R43SG via M.2 with NVMe via USB (ORICO)	1042.74	902.10	8263	11326	108.4	73	65	58

Obviously, the read/write performance is degraded further because of the bandwidth limitations from using the USB interface.

Looking at the GPU performance when running the SOTTR benchmarks in more detail shows both a CPU and GPU bottleneck:

So by upgrading the GPU to an RTX 2060 and therefore potentially increasing the amount of data being transferred to the GPU what is the impact when using Thunderbolt 3?

First, a new baseline can be derived for the R43SG and RTX 2060 installed in the M.2 NVMe slot and with the NVMe SSD installed in the JEYI connected via Thunderbolt 3:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
2060 in R43SG via M.2 with NVMe via TB (JEYI)	1301.64	1231.80	10677	18407	197	74	71	70

Now comparing with the RTX 2060 installed in the XG Station Pro and connected via Thunderbolt 3:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
2060 in eGPU via TB with NVMe via M.2	1806.22	2096.69	9921	15856	174.0	66	63	62

or with the R43SG and RTX 2060 installed in the JEYI adapter and connected via Thunderbolt 3:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
2060 in R43SG via TB (JEYI) with NVMe via M.2	1861.91	2089.03	9890	15708	173.8	66	64	63

shows the predicted slight increase in graphical loss due to the additional data of around 12% when connecting the eGPU or R32SG via Thunderbolt 3 or alternatively around a 14% graphical improvement when directly connecting the GPU in the R32SG via PCIe.

Now the CPU bottleneck can be seen clearly during the SOTTR benchmark:

so when the R43SG and RTX 2060 is installed in the M.2 NVMe slot of a far more powerful NUC7i7DNHE mini PC whose NVMe SSD is relocated to the ORICO because of a lack of Thunderbolt 3 port:

Configuration	CDM Seq Read	CDM Seq Write	Firestrike Score	Firestrike Graphics	Heaven	SOTTR Low	SOTTR Medium	SOTTR High
Faster NUC and 2060 in R43SG via M.2 with NVMe via USB (ORICO)	462.47	449.89	14284	18566	204.7	97	91	90

it shows that the GPU has become the bottleneck again:

As mentioned earlier, the read/write speed degradation seen when using the JEYI adapter is not just due to Thunderbolt 3. There are various reports of variation in performance of ‘Thunderbolt 3 to M.2 NVMe adapters’ due to the type of controller used by the NVMe SSD resulting in some brands of SSDs performing better than others.

To examine this I tested a new addlink 2TB NVMe SSD which has an advertised ‘Sequential Read’ of 3,500 MB/s and ‘Sequential Write’ of 3,000 MB/s. First some baseline tests:

Configuration	CDM Seq Read	CDM Seq Write
addlink via M.2 with NVMe via TB (JEYI)	3280.13	2993.68
R43SG+EZDIY-FAB+addlink via M.2 with NVMe via TB (JEYI)	3266.57	3004.37
addlink via M.2 with NVMe via USB (ORICO)	3271.44	3000.39

shows an average ‘Sequential Read’ of 3,276 MB/s and ‘Sequential Write’ of 2,997 MB/s.

Testing again but connected with various combinations using Thunderbolt 3:

Configuration	CDM Seq Read	CDM Seq Write
RIITOP+addlink in eGPU via TB with NVMe via M.2	2661.17	1914.25
R43SG+EZDIY-FAB+addlink via TB (JEYI) with NVMe via M.2	2663.30	1932.78
addlink via TB (JEYI) with NVMe via M.2	2663.17	1965.04
addlink via TB (JEYI) with NVMe via USB (ORICO)	2663.88	1981.75

shows a performance drop of only 19% with an average ‘Sequential Read’ of 2,663 MB/s and a 35% drop for ‘Sequential Write’ to 1,948 MB/s indicating that reading saturated the Thunderbolt 3 link to its theoretical maximum.

In comparison, the performance drop for the Kingston 1TB NVMe SSD mentioned earlier was measured after the SSD had been used for multiple benchmarking tests and wear-leveling had reduced the speeds from the advertised ‘Sequential Read’ of 2,200 MB/s and ‘Sequential Write’ of 2,000 MB/s. A better comparison is to look at the results for when the tests were conducted when the SSD was new:

Configuration	CDM Seq Read	CDM Seq Write
NVMe via M.2	2205.01	2166.21
NVMe via TB (JEYI)	1299.97	1250.21

and this shows a much larger 41% drop in ‘Sequential Read’ and a 42% drop in ‘Sequential Write’ and indicates that the addlink SSD has proportionally less of a performance drop with the JEYI adapter than the Kingston SSD.

Throughout the testing to exclude any variance attributable to the Thunderbolt 3 cable I used the JEYI cable which is a ‘passive’ cable. However separately I also ran some comparison tests using an ‘active’ Thunderbolt 3 cable but found there were no significant differences.

Additional Analysis

A summary of the results is provided in the following table:

Specifically looking just at the graphical performance (based on the Firestrike Graphics and Heaven results) clearly shows the impact of connecting via Thunderbolt 3:

When looking at just the SOTTR benchmarks the impact of the CPU can be seen on the graphics performance. With a ‘low’ graphics preset upgrading the GPU has no effect on the average FPS because as previously shown this low-powered CPU is the bottleneck. Of interest is that when the 1650 Super is connected via PCIe it is almost better than the 2060 connected via Thunderbolt 3:

The SSD read/write speeds are greatly impacted by how the SSD is connected although as noted above this does not necessarily affect the graphics performance however it will affect the gaming experience as load times will vary depending on the interface:

Conclusion

One advantage of any eGPU solution given the rarity of graphics cards at the present time is it allows the sharing of a GPU between systems (and/or users).

Most likely the ports on the mini PC will dictate exactly how an eGPU can be configured however cosmetically using an eGPU connected via a Thunderbolt 3 port is tidier than when connected via PCIe but comes at a cost of around 10% loss of graphical performance. Additionally, the enclosure of an eGPU may be seen as desirable as the GPU’s fan blades are not exposed. However commercial eGPUs are expensive and can be rather large whereas ‘DIY eGPUs’ offer the same performance at a much lower cost.

If using an adapter like the R43SG in the M.2 NVMe slot for best graphical performance then consider the impact that a ‘Thunderbolt 3 to M.2 NVMe adapter’ has on SSD speeds vs the cheaper option of using a ‘USB to M.2 NVMe adapter’.

With a low-powered CPU typical of a mini PC it is important not to over-spec the GPU to be used as its full potential will likely not totally be utilized due to being ‘CPU bound’.

Finally, be aware when booting directly from an eGPU you may encounter a blank screen as initially, the iGPU may only be active with the eGPU not becoming active until after the desktop starts when it is used by the primary display. You may need to press the spacebar and then enter your Windows password invisibly to get the desktop to start or simply ‘hot-swap’ the HDMI cable from the mini PC to the eGPU once booted if preferred. Disabling the iGPU is not a preferred solution as it could lead to being without a display if the eGPU fails or is removed completely.

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