AMD Radeon RX 6650M vs NVIDIA Tesla T4 Comparison

AMD Radeon RX 6650M and NVIDIA Tesla T4 occupy different corners of the GPU landscape, yet benchmark results place them within a narrow performance band. The AMD part, a mobile gaming chip from the Radeon RX 6000 series, edges out NVIDIA’s data-center accelerator in both recorded tests, but the margin is slim enough that workload and platform context decide the better fit. The data shows the RX 6650M leads by 7.4% in Geekbench OpenCL and 7.7% in Geekbench Vulkan, translating to a 2–0 win count in head-to-head tests. However, the Tesla T4 counters with double the memory capacity, higher power efficiency, and a form factor designed for server deployment. Neither card dominates outright; the choice hinges on whether raw compute scores or memory capacity and power envelope take precedence.

The Verdict

From the benchmark data alone, the AMD Radeon RX 6650M is the faster part in compute workloads. Its average benchmark score of 71,768 sits above the Tesla T4’s 66,733, a 7.5% advantage that mirrors the individual test deltas. The RX 6650M also ranks in the 91st percentile of all GPUs, one point higher than the Tesla T4’s 90th percentile. In the nearest-rival comparison, the RX 6650M trades blows with the NVIDIA TITAN X Pascal (deltaPct -0.5%) and AMD Radeon Pro Vega 64 (deltaPct -0.8%), while the Tesla T4 sits close to the AMD Radeon VII (deltaPct 1.1%) and NVIDIA Tesla P40 (deltaPct 2.5%). These figures place both cards in the same performance tier, but the RX 6650M holds the edge in every recorded metric.

For users prioritizing raw compute throughput in OpenCL or Vulkan, the RX 6650M is the data-backed choice. Its Geekbench OpenCL score of 65,800 and Vulkan score of 77,735 exceed the Tesla T4’s 61,276 and 72,190, respectively. The RX 6650M also offers 8 GB of GDDR6 memory, a 128-bit bus, and a 224.0 GB/s bandwidth, which is sufficient for many gaming and workstation tasks. However, the Tesla T4’s 16 GB memory capacity, 256-bit bus, and 320.0 GB/s bandwidth make it the superior option for memory-bound workloads like large model inference or dataset processing. The Tesla T4 also consumes 70 W versus the RX 6650M’s 120 W, a significant efficiency gap for dense server deployments where thermal and power budgets are tight.

The verdict splits cleanly: pick the RX 6650M for compute performance in a portable or compact system, and pick the Tesla T4 for memory capacity, lower power draw, and server integration. The data does not support a universal winner.

Architecture Differences

The two GPUs stem from fundamentally different design philosophies. AMD’s RX 6650M uses the Navi 23 chip built on RDNA 2.0 architecture, fabricated on a 7 nm process at TSMC. The die measures 237 mm² and packs 11,060 million transistors, yielding a transistor density of 46.7M per mm². NVIDIA’s Tesla T4 uses the TU104 chip on the older Turing architecture, built on a 12 nm process. Its die is substantially larger at 545 mm², containing 13,600 million transistors but with a lower density of 25.0M per mm². The process node difference explains much of the efficiency gap: the RX 6650M achieves higher clock speeds at a lower process size, while the Tesla T4 compensates with a larger die and more CUDA cores.

Clock behavior diverges sharply. The RX 6650M runs at a base clock of 2068 MHz, a game clock of 2222 MHz, and a boost clock of 2416 MHz. The Tesla T4 idles at a 585 MHz base but boosts to 1590 MHz. This 826 MHz boost-clock gap (from 1590 to 2416) reflects the mobile chip’s aggressive frequency scaling versus the server part’s power-conscious design. Memory clocks also differ: the RX 6650M uses 1750 MHz (14 Gbps effective) GDDR6, while the Tesla T4 runs at 1250 MHz (10 Gbps effective). Despite the lower memory clock, the Tesla T4’s wider 256-bit bus delivers 320.0 GB/s bandwidth versus the RX 6650M’s 224.0 GB/s from its 128-bit bus.

Compute resources tell a mixed story. The Tesla T4 has more shading units (2560 vs. 1792), more texture mapping units (160 vs. 112), and more ray tracing cores (40 vs. 28). It also includes 320 tensor cores, which the RX 6650M lacks entirely. However, the RX 6650M achieves higher pixel rate (154.6 GPixel/s vs. 101.8 GPixel/s) and texture rate (270.6 GTexel/s vs. 254.4 GTexel/s), thanks to its higher clocks. In raw FP32 throughput, the RX 6650M posts 8.659 TFLOPS versus the Tesla T4’s 8.141 TFLOPS. FP16 performance follows the same pattern: 17.32 TFLOPS (2:1) for AMD versus 16.28 TFLOPS (2:1) for NVIDIA. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Physical and interface differences are stark. The RX 6650M is an IGP (integrated graphics processor) with no power connectors and a PCIe 4.0 x8 interface. The Tesla T4 is a single-slot card, 168 mm (6.6 inches) long, with no power connectors but a suggested 250 W power supply. The Tesla T4 uses PCIe 3.0 x16, offering more lanes but an older standard. Display outputs differ: the RX 6650M is portable-device dependent, while the Tesla T4 has no outputs. Production status for both is end-of-life, with the RX 6650M released on 2022-01-03 and the Tesla T4 on 2018-09-12.

Head-to-Head Benchmarks

The Geekbench OpenCL test shows the RX 6650M scoring 65,800 against the Tesla T4’s 61,276, a 7.4% advantage for AMD. This delta is consistent with the FP32 throughput gap of 8.659 TFLOPS versus 8.141 TFLOPS. The OpenCL result indicates that the RX 6650M’s higher clock speeds outweigh the Tesla T4’s larger shading unit count in this workload. The Tesla T4’s 320 tensor cores do not accelerate OpenCL compute here, as tensor operations are not part of this benchmark’s scope.

In Geekbench Vulkan, the margin widens slightly. The RX 6650M scores 77,735, while the Tesla T4 reaches 72,190, yielding a 7.7% delta. Vulkan’s lower-level API benefits the RX 6650M’s RDNA 2.0 architecture, which was designed with modern graphics APIs in mind. The higher boost clock of 2416 MHz versus 1590 MHz likely drives this advantage, as Vulkan scales well with frequency in geometry and rasterization workloads. The Tesla T4’s texture rate of 254.4 GTexel/s trails the RX 6650M’s 270.6 GTexel/s, reinforcing the AMD win.

Both wins are narrow in percentage terms but consistent across APIs. The average benchmark score of 71,768 for the RX 6650M versus 66,733 for the Tesla T4 confirms that the head-to-head results are not outliers. In the nearest-rival context, the RX 6650M’s performance sits between the AMD Radeon Vega Frontier Edition (73,370, deltaPct -2.2%) and the AMD Radeon RX 6600 LE (70,829, deltaPct 1.3%). The Tesla T4, meanwhile, falls between the Intel Arc A770 (68,809, deltaPct -3%) and the AMD Radeon Instinct MI25 (68,562, deltaPct -2.7%). These comparisons show that the Tesla T4 is closer to its rivals than the RX 6650M is to its own, suggesting the AMD part has a slightly stronger competitive position.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The AMD Radeon RX 6650M leads with an average benchmark score of 71,768, compared to the NVIDIA Tesla T4’s 66,733. This represents a 7.5% advantage for the AMD card.

Q: Does the Tesla T4 offer any advantage in memory capacity?

A: Yes, the Tesla T4 has 16 GB of GDDR6 memory on a 256-bit bus, delivering 320.0 GB/s bandwidth. The RX 6650M has 8 GB on a 128-bit bus with 224.0 GB/s bandwidth.

Q: What are the power consumption figures for each GPU?

A: The Tesla T4 has a TDP of 70 W with a suggested power supply of 250 W. The RX 6650M has a TDP of 120 W and no suggested PSU listed.

Q: Which GPU supports tensor cores, and how many?

A: The Tesla T4 includes 320 tensor cores. The RX 6650M does not list tensor cores in its specifications.

Q: What is the process node difference between the two chips?

A: The RX 6650M uses a 7 nm process at TSMC, while the Tesla T4 uses a 12 nm process. The RX 6650M’s die is 237 mm² versus the Tesla T4’s 545 mm².

Q: How do the pixel rates compare?

A: The RX 6650M achieves a pixel rate of 154.6 GPixel/s, which is higher than the Tesla T4’s 101.8 GPixel/s. This reflects the AMD card’s higher clock speeds.

Where Each One Wins

The RX 6650M wins in raw compute performance. Its Geekbench OpenCL and Vulkan scores are higher by 7.4% and 7.7%, respectively. The FP32 throughput of 8.659 TFLOPS and FP16 throughput of 17.32 TFLOPS (2:1) exceed the Tesla T4’s 8.141 TFLOPS and 16.28 TFLOPS (2:1). The pixel rate of 154.6 GPixel/s and texture rate of 270.6 GTexel/s also favor AMD. For workloads that stress shading units and clock speed—such as real-time graphics, game engine compute, or OpenCL-based scientific simulations—the RX 6650M is the better performer. Its 91st percentile ranking versus the Tesla T4’s 90th percentile reinforces this edge.

The Tesla T4 wins in memory capacity and bandwidth. With 16 GB versus 8 GB, the Tesla T4 handles datasets twice as large without spilling to system memory. Its 320.0 GB/s bandwidth versus 224.0 GB/s provides a 42.9% advantage in data throughput. For machine learning inference, large matrix operations, or workloads that rely on tensor cores, the Tesla T4 is the clear choice. The 320 tensor cores enable accelerated AI workloads that the RX 6650M cannot perform at all. The Tesla T4’s 70 W TDP is 41.7% lower than the RX 6650M’s 120 W, making it better suited for multi-GPU servers where power density is a constraint. The single-slot form factor and PCIe 3.0 x16 interface also fit standard server chassis, whereas the RX 6650M’s IGP design targets mobile platforms.

The production timelines favor the Tesla T4 for longevity in enterprise deployments, as it was released on 2018-09-12 and has a successor (Server Ampere). The RX 6650M, released on 2022-01-03, has no listed successor, suggesting a shorter product lifecycle. The Tesla T4’s lack of display outputs is irrelevant in server contexts but disqualifies it for any client use case. The RX 6650M’s portable-device-dependent outputs mean it requires a host system for display, but it remains usable in laptops or compact desktops. In summary, the RX 6650M wins on compute speed and graphics throughput, while the Tesla T4 wins on memory, power efficiency, and AI-specific features.