AMD Radeon RX 6650M XT vs NVIDIA Tesla T4 Comparison

AMD Radeon RX 6650M XT vs NVIDIA Tesla T4: two end-of-life accelerators with very different design goals. The AMD part is a mobile gaming chip, while the NVIDIA part is a low-power datacenter inference card. The benchmark data shows a clear gap in raw compute, but the T4 brings unique features that matter in specific workloads.

Head-to-Head Benchmarks

The dataset includes only one directly comparable benchmark: Geekbench OpenCL. In that test, the AMD Radeon RX 6650M XT scores 76,904 points, while the NVIDIA Tesla T4 scores 61,276 points. That puts the AMD part ahead by 25.5% in this specific test. The margin is substantial, but not overwhelming — it means the RX 6650M XT delivers noticeably more raw compute throughput in OpenCL workloads. The T4's score of 61,276 is still solid, placing it in the 90th percentile of all GPUs, but the AMD part edges it out with a 91st percentile ranking.

Looking at the broader context, the RX 6650M XT's 76,904 OpenCL score sits just 1% below the NVIDIA GeForce RTX 5090 D's 77,712, and 2.6% below the AMD Radeon RX 6850M XT's 78,940. The T4's 61,276 OpenCL score, by contrast, is 1.1% above the AMD Radeon VII's 66,004 and 2.5% above the NVIDIA Tesla P40's 65,095. So while the RX 6650M XT is competitive with high-end consumer and workstation cards, the T4 is positioned closer to older flagship datacenter parts.

The T4 also has a Geekbench Vulkan score of 72,190, which is notably higher than its OpenCL result. That Vulkan score would be competitive with the RX 6650M XT's OpenCL figure, though no direct Vulkan comparison exists in the head-to-head data. The T4's Vulkan strength suggests it handles certain modern graphics APIs better than its OpenCL numbers would indicate.

Where Each One Wins

The AMD Radeon RX 6650M XT wins decisively in OpenCL compute performance, posting 25.5% higher scores than the Tesla T4. That translates to faster execution in general-purpose GPU workloads that rely on OpenCL, such as certain scientific simulations, video encoding pipelines, and cross-platform rendering tasks. The RX 6650M XT also has a higher pixel rate (154.6 GPixel/s vs 101.8 GPixel/s) and texture rate (309.2 GTexel/s vs 254.4 GTexel/s), making it the better choice for rasterization-heavy tasks like gaming or real-time graphics rendering.

The NVIDIA Tesla T4 wins in areas the benchmark scores don't fully capture. It has 320 dedicated tensor cores, which the AMD part lacks entirely. That makes the T4 the only option between the two for TensorFlow or PyTorch workloads that leverage tensor core acceleration. The T4 also has 16 GB of memory compared to 8 GB on the RX 6650M XT, plus a wider 256-bit memory bus and higher bandwidth at 320.0 GB/s versus 256.0 GB/s. For large datasets or models that exceed 8 GB of VRAM, the T4 is the practical choice despite its lower raw compute scores.

The T4's 70 W TDP is also 50 W lower than the RX 6650M XT's 120 W, making it far more efficient for datacenter deployments where power density matters. The T4 is a single-slot card with no power connectors and a 250 W recommended PSU, while the RX 6650M XT is an IGP (integrated graphics processor) with no power connectors and no suggested PSU listed. For server environments, the T4's form factor and power profile are clear advantages.

Architecture Differences

The AMD Radeon RX 6650M XT uses the Navi 23 chip built on RDNA 2.0 architecture, fabricated on a 7 nm process at TSMC. It contains 11,060 million transistors on a 237 mm² die, giving it a transistor density of 46.7 million per mm². The NVIDIA Tesla T4 uses the TU104 chip on Turing architecture, built on a 12 nm process, also at TSMC. It packs 13,600 million transistors on a much larger 545 mm² die, resulting in a lower density of 25.0 million per mm². The AMD part's smaller, denser process node is a key reason it achieves higher clock speeds: 2068 MHz base and 2416 MHz boost versus the T4's 585 MHz base and 1590 MHz boost.

Both architectures support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical. The RX 6650M XT has 32 ray tracing cores, while the T4 has 40 RT cores plus 320 tensor cores. AMD's RDNA 2.0 uses a unified shader design with 2048 shading units, 128 TMUs, and 64 ROPs. NVIDIA's Turing uses a similar layout with 2560 shading units, 160 TMUs, and 64 ROPs. Despite having fewer shading units, the AMD part achieves higher FP32 throughput at 9.896 TFLOPS versus 8.141 TFLOPS, thanks to its much higher clock speeds.

The memory subsystems differ significantly. The RX 6650M XT uses 8 GB of GDDR6 on a 128-bit bus with 256.0 GB/s bandwidth and 16 Gbps effective memory speed. The T4 uses 16 GB of GDDR6 on a 256-bit bus with 320.0 GB/s bandwidth and 10 Gbps effective speed. The T4's memory is slower per-pin but double the capacity and bandwidth overall. The RX 6650M XT also has a different memory controller approach, with a 2000 MHz memory clock compared to the T4's 1250 MHz.

Specification Differences

| Specification | AMD Radeon RX 6650M XT | NVIDIA Tesla T4 |

|---|---|---|

| Process node | 7 nm | 12 nm |

| Transistors | 11,060 million | 13,600 million |

| Die size | 237 mm² | 545 mm² |

| Base clock | 2068 MHz | 585 MHz |

| Boost clock | 2416 MHz | 1590 MHz |

| Memory size | 8 GB | 16 GB |

| Memory bus | 128 bit | 256 bit |

| Memory bandwidth | 256.0 GB/s | 320.0 GB/s |

| Shading units | 2048 | 2560 |

| TMUs | 128 | 160 |

| RT cores | 32 | 40 |

| Tensor cores | None | 320 |

| FP32 | 9.896 TFLOPS | 8.141 TFLOPS |

| FP16 | 19.79 TFLOPS (2:1) | 16.28 TFLOPS (2:1) |

| TDP | 120 W | 70 W |

| Slot width | IGP | Single-slot |

| Suggested PSU | None | 250 W |

| Bus interface | PCIe 4.0 x8 | PCIe 3.0 x16 |

| Display outputs | Portable Device Dependent | No outputs |

| Release date | 2022-01-03 | 2018-09-12 |

FAQ

Q: Which GPU has higher raw compute performance?

A: The AMD Radeon RX 6650M XT is ahead by 25.5% in Geekbench OpenCL, scoring 76,904 versus the Tesla T4's 61,276. It also leads in FP32 at 9.896 TFLOPS versus 8.141 TFLOPS.

Q: Can the Tesla T4 handle AI workloads?

A: Yes, the T4 has 320 tensor cores, which the RX 6650M XT does not have. That makes the T4 the only option between the two for workloads that can use tensor core acceleration.

Q: Which GPU is better for gaming?

A: The RX 6650M XT is the gaming-oriented part. It has higher pixel and texture rates (154.6 GPixel/s and 309.2 GTexel/s vs 101.8 and 254.4), plus display outputs, while the T4 has no display outputs at all.

Q: How do the memory capacities compare?

A: The Tesla T4 has 16 GB of GDDR6 on a 256-bit bus with 320.0 GB/s bandwidth. The RX 6650M XT has 8 GB on a 128-bit bus with 256.0 GB/s bandwidth. The T4 has double the capacity and 25% more bandwidth.

Q: What about power consumption?

A: The T4 is rated at 70 W TDP, while the RX 6650M XT is rated at 120 W. The T4 also has a suggested PSU of 250 W, whereas the RX 6650M XT lists none.

Q: Which GPU is more recent?

A: The RX 6650M XT was released on 2022-01-03, while the T4 was released on 2018-09-12. Both are now end-of-life products.

The Verdict

The data points to a clear split: the AMD Radeon RX 6650M XT is the better performer in raw compute and graphics rendering, while the NVIDIA Tesla T4 is the better choice for memory-heavy and tensor-accelerated workloads. The RX 6650M XT wins the only head-to-head benchmark by 25.5%, and its higher clock speeds and newer 7 nm process give it a decisive edge in OpenCL. If you're building a system for gaming, real-time rendering, or general OpenCL compute, the RX 6650M XT is the obvious pick.

The Tesla T4's advantages are not visible in the benchmark scores but are structural: 16 GB of VRAM, 320 tensor cores, a 70 W TDP, and a single-slot form factor. For inference tasks, large model loading, or any workload that needs more than 8 GB of memory, the T4 is the only viable option between the two. Its lower power draw and server-friendly design also make it preferable for dense datacenter deployments.

Choose the RX 6650M XT for performance per watt in compute-heavy client workloads. Choose the Tesla T4 for AI inference, large memory footprints, or constrained power environments. The benchmark data alone favors AMD, but the full specification sheet shows NVIDIA's card fills a niche the AMD part simply cannot.