AMD Radeon PRO V620 vs NVIDIA Tesla T4 Comparison

AMD Radeon PRO V620 vs NVIDIA Tesla T4

The AMD Radeon PRO V620 and NVIDIA Tesla T4 are both end-of-life server accelerators with no display outputs, but they target very different workloads and power envelopes. The database shows a clear performance gap in raw compute benchmarks, with the AMD Radeon PRO V620 delivering roughly double the scores of the Tesla T4 in both OpenCL and Vulkan tests. However, the Tesla T4 counters with a drastically lower power draw, a smaller physical footprint, and a different feature set aimed at inference rather than raw throughput. This comparison breaks down where each card excels, what the benchmark numbers mean for real-world tasks, and which card suits which type of deployment.

Where Each One Wins

The AMD Radeon PRO V620 wins decisively in raw compute performance. In the recorded Geekbench OpenCL test, it scores 128,580 against the Tesla T4's 61,276, a 109.8% difference. In the Vulkan test, the AMD card scores 144,364 versus 72,190, a 100% difference. This makes the Radeon PRO V620 the clear choice for workloads that depend heavily on shading units, texture fill, and pixel throughput. With 4,608 shading units, 288 texture mapping units, and 128 ROPs, it has more than double the execution resources of the Tesla T4 in most categories. Its 20.28 TFLOPS FP32 and 40.55 TFLOPS FP16 (2:1) also dwarf the Tesla's 8.141 TFLOPS FP32 and 16.28 TFLOPS FP16 (2:1). For rendering, simulation, or any GPU-compute task that scales with raw shader count, the AMD part wins outright.

The NVIDIA Tesla T4 wins on efficiency and form factor. It draws 70 W compared to the Radeon's 300 W, and it requires no power connectors, operating on standard PCIe slot power alone. Its suggested PSU is 250 W versus 700 W for the AMD card. The Tesla T4 is also single-slot and only 168 mm (6.6 inches) long, while the Radeon PRO V620 is dual-slot and 267 mm (10.5 inches) long. In dense server environments where power and physical space are limited, the Tesla T4 is the more practical install. Additionally, the Tesla T4 has 320 tensor cores, a feature the AMD card lacks entirely. Tensor cores accelerate matrix math for AI inference, so the Tesla T4 is better suited for machine learning inference tasks despite its lower raw compute scores. The data shows the Tesla T4 sits at the 90th percentile of all GPUs, while the AMD card sits at the 96th, but the T4's efficiency profile makes it a stronger candidate for always-on inference nodes.

FAQ

Q: Which card has the higher average benchmark score?

A: The AMD Radeon PRO V620 has an average benchmark score of 136,472, while the NVIDIA Tesla T4 averages 66,733. The AMD card is roughly 104% higher on average.

Q: How do the OpenCL scores compare?

A: The AMD Radeon PRO V620 scores 128,580 in Geekbench OpenCL, and the NVIDIA Tesla T4 scores 61,276. That gives AMD a 109.8% lead.

Q: What about Vulkan performance?

A: The AMD Radeon PRO V620 scores 144,364 in Geekbench Vulkan, versus 72,190 for the Tesla T4. AMD leads by 100%.

Q: Does the Tesla T4 have any hardware advantage over the Radeon?

A: Yes, the Tesla T4 includes 320 tensor cores, while the AMD card has none. The T4 also draws 70 W versus 300 W, needs no external power connectors, and is single-slot and much shorter.

Q: Which card has more memory bandwidth?

A: The AMD Radeon PRO V620 has 512.0 GB/s of bandwidth from 32 GB of GDDR6, while the Tesla T4 has 320.0 GB/s from 16 GB of GDDR6. AMD has double the memory capacity and 60% more bandwidth.

Q: Are both cards end-of-life?

A: Yes, both are listed as end-of-life. The AMD Radeon PRO V620 released on 2021-11-03, and the NVIDIA Tesla T4 released on 2018-09-12.

Head-to-Head Benchmarks

The recorded data includes two head-to-head benchmark comparisons, and the AMD Radeon PRO V620 wins both by a wide margin. In Geekbench OpenCL, the AMD card scores 128,580 against the Tesla T4's 61,276, a delta of 109.8%. That is not a close race; it is a 67,304-point gap. In Geekbench Vulkan, the AMD card scores 144,364 against 72,190, a 100% delta and a 72,174-point gap. Both tests show the same pattern: the Radeon PRO V620 delivers roughly twice the performance of the Tesla T4 in compute-heavy workloads.

These results align with the hardware specifications. The AMD card's 20.28 TFLOPS FP32 is exactly 2.49 times the Tesla's 8.141 TFLOPS FP32. The AMD card's 633.6 GTexel/s texture rate is 2.49 times the Tesla's 254.4 GTexel/s. The AMD card's 281.6 GPixel/s pixel rate is 2.77 times the Tesla's 101.8 GPixel/s. The benchmark deltas of roughly 100% to 110% are consistent with a card that has more than double the shader units (4,608 vs 2,560) and more than double the texture units (288 vs 160). The Tesla T4's only counterpoints are its 320 tensor cores and its vastly lower power draw, but neither appears in the Geekbench compute scores.

The nearest rivals for the AMD card reinforce its standing. Its average score of 136,472 is only 0.5% ahead of the AMD Radeon Pro W6800X Duo, 0.8% ahead of the AMD Radeon PRO W6800, 0.9% ahead of the NVIDIA A10M, and 0.9% ahead of the NVIDIA RTX 4000 Ada Generation. Those are all modern or recent professional cards, meaning the Radeon PRO V620 is firmly in the upper tier of workstation GPUs. The Tesla T4, by contrast, sits near older or midrange parts. Its average of 66,733 is 1.1% ahead of the AMD Radeon VII, 2.5% ahead of the NVIDIA Tesla P40, but 2.7% behind the AMD Radeon Instinct MI25 and 3% behind the Intel Arc A770. The T4 is competitive with older flagship cards but not with current high-end accelerators.

Specification Differences

The two cards differ substantially in nearly every core specification. The AMD Radeon PRO V620 uses 32 GB of GDDR6 memory on a 256-bit bus, delivering 512.0 GB/s of bandwidth. The NVIDIA Tesla T4 uses 16 GB of GDDR6 on the same 256-bit bus, delivering 320.0 GB/s. AMD has double the capacity and 60% more bandwidth. The AMD card also runs much faster clocks: 1825 MHz base and 2200 MHz boost, versus the Tesla's 585 MHz base and 1590 MHz boost. Memory clocks differ too, with the AMD card at 2000 MHz (16 Gbps effective) and the Tesla at 1250 MHz (10 Gbps effective).

Power and physical requirements diverge sharply. The AMD card has a 300 W TDP, dual-slot design, 2x 8-pin power connectors, and a suggested PSU of 700 W. The Tesla T4 has a 70 W TDP, single-slot design, no power connectors, and a suggested PSU of 250 W. The AMD card is 267 mm (10.5 inches) long, 120 mm (4.7 inches) high, and 50 mm (2 inches) wide. The Tesla T4 is 168 mm (6.6 inches) long, with no recorded height or width. The AMD card uses PCIe 4.0 x16, while the Tesla T4 uses PCIe 3.0 x16. Both have no display outputs, so neither can drive a monitor directly.

Process technology also differs. The AMD card is built on a 7 nm node at TSMC, while the Tesla T4 is on a 12 nm node, also at TSMC. The AMD card packs 26,800 million transistors into a 520 mm² die, giving a density of 51.5M / mm². The Tesla T4 has 13,600 million transistors on a 545 mm² die, a density of 25.0M / mm². The AMD chip is physically smaller but carries nearly twice the transistors, a direct result of the denser process node.

Architecture Differences

The AMD Radeon PRO V620 is based on the Navi 21 chip using the RDNA 2.0 architecture, part of the Radeon Pro Navi (Navi II Series) generation. The NVIDIA Tesla T4 is based on the TU104 chip using the Turing architecture, part of the Tesla Turing (Txx) generation. These are fundamentally different designs with different priorities. RDNA 2.0 is a gaming-derived architecture optimized for high clock speeds and raw throughput. Turing is an architecture that introduced dedicated tensor cores and ray tracing cores for a broader range of compute and inference tasks.

The AMD card has 72 ray tracing cores, while the Tesla T4 has 40. The AMD card also has 4,608 shading units, 288 TMUs, and 128 ROPs. The Tesla T4 has 2,560 shading units, 160 TMUs, and 64 ROPs. The AMD card has no tensor cores; the Tesla T4 has 320 of them. This is the single most important architectural difference for AI workloads. Tensor cores accelerate matrix multiplication operations used in neural network inference and training, and the Tesla T4's 320 cores give it a dedicated hardware path for those tasks. The AMD card must rely on its general-purpose shader units for such work, which is slower per operation even though its raw FP16 throughput is higher.

Both cards support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical. The AMD card is the successor to the Radeon Pro Vega, while the Tesla T4 is the successor to the Tesla Volta and the predecessor to the Server Ampere line. The AMD card's release date is 2021-11-03, roughly three years after the Tesla T4's release on 2018-09-12. That time gap explains some of the performance difference, as the AMD card benefits from a newer process node and a more modern architecture. The Tesla T4's 12 nm process and Turing architecture are older, but its tensor core implementation remains relevant for inference workloads that do not require massive FP32 throughput.

The Verdict

The data points to a clear split: the AMD Radeon PRO V620 is the stronger compute card, and the NVIDIA Tesla T4 is the stronger efficiency and inference card. If the workload is raw GPU compute, rendering, simulation, or any task that scales with FP32 and FP16 throughput, the Radeon PRO V620 wins by roughly 100% in the recorded benchmarks. Its 20.28 TFLOPS FP32 and 40.55 TFLOPS FP16 are far ahead of the Tesla's 8.141 and 16.28, respectively. Its 512.0 GB/s memory bandwidth and 32 GB capacity also give it a substantial advantage for large datasets. For any user who needs maximum compute density per card, the AMD part is the obvious choice.

If the workload is AI inference, the Tesla T4 has the edge despite its lower benchmark scores. Its 320 tensor cores are a hardware feature the AMD card lacks entirely, and they are specifically designed for the matrix operations that dominate neural network inference. The Tesla T4 also draws 70 W versus 300 W, requires no external power, and fits in a single slot at 168 mm length. A server can pack many more Tesla T4 cards into the same power and space budget. The data shows the Tesla T4 at the 90th percentile of all GPUs, which is respectable, but its real value is in density and efficiency, not raw speed.

The verdict depends on the deployment. For a workstation or server with ample power and space, and a workload dominated by rendering or compute, the AMD Radeon PRO V620 is the better card. It delivers double the benchmark performance and sits at the 96th percentile of all GPUs. For a dense inference server with strict power limits, the NVIDIA Tesla T4 is the better fit. It gives up raw performance but adds tensor cores, a 70 W TDP, and a single-slot profile. Neither card is a general-purpose winner; each wins in its intended environment.