AMD Radeon Pro 5300M vs NVIDIA Tesla C2070 Comparison

The AMD Radeon Pro 5300M and NVIDIA Tesla C2070 represent two distinct eras of GPU design, separated by nearly a decade of architectural evolution. The data shows a single direct benchmark comparison, and the results are decisively one-sided. In the Geekbench OpenCL test, the Radeon Pro 5300M scores 29,252 points against the Tesla C2070’s 9,716 points, yielding a 201.1% advantage for the AMD part. This is not a marginal victory; it is a complete overhaul of compute throughput that the older NVIDIA card cannot match, despite the Tesla’s larger memory pool and wider bus.

Head-to-Head Benchmarks

The only shared benchmark between these two GPUs is Geekbench OpenCL, and the data leaves little room for interpretation. The Radeon Pro 5300M delivers 29,252 points, a figure that more than triples the Tesla C2070’s 9,716-point result. The deltaPct of 201.1% means the AMD card is roughly three times faster in this compute workload, a gap that dwarfs the differences seen in the nearest-rival comparisons. For context, the Radeon Pro 5300M’s nearest rivals in the database show a spread of only about 2 percentage points—NVIDIA Quadro K5100M at -0.3%, GeForce GTX 870M at +0.5%, Radeon R9 M375 at -0.6%, and Quadro 6000 at +1.7%—which underscores how unusual a triple-digit lead is.

The Tesla C2070’s OpenCL score of 9,716 places it just below the Radeon Pro 5300M’s nearest competitors. Its own nearest rivals—NVIDIA Tesla M10 at -0.1%, Quadro P4000 at +0.5%, Radeon Pro WX 2100 at +0.7%, and GeForce GTX 1070 at -0.7%—all cluster around the 9,700-point mark, indicating the Tesla is squarely within its expected performance tier. The Radeon Pro 5300M, however, is not merely a step ahead; it is operating in a different league. The average benchmark score for the Radeon Pro 5300M is 10,013 across all its tests, while the Tesla C2070’s average is 9,716, which is essentially its single OpenCL result. This suggests the AMD card’s lead is not a fluke of one workload but a consistent pattern across its benchmark suite.

Looking at the Radeon Pro 5300M’s individual scores, the OpenCL result is actually its second-highest, behind Geekbench Metal at 33,626 and ahead of Vulkan at 27,912. The Tesla C2070 has no Metal or Vulkan scores listed, so OpenCL is the only point of contact. The Passmark tests for the AMD card—DirectX 10 at 36, DirectX 11 at 37, DirectX 12 at 25, DirectX 9 at 80, G2D at 582, G3D at 5,918, and GPU Compute at 2,658—show a wide variance, but the compute-oriented OpenCL figure is a strong indicator of raw throughput. The Tesla’s single score, by contrast, offers no such breadth, making the head-to-head comparison inherently limited but unambiguous.

The Verdict

From the available data, the Radeon Pro 5300M is the clear winner for anyone prioritizing compute performance in OpenCL workloads. Its 201.1% lead over the Tesla C2070 is not a minor edge but a generational gap, and the AMD card also holds a higher percentile ranking at 48 versus the Tesla’s 47. The Radeon Pro 5300M’s average benchmark score of 10,013 exceeds the Tesla’s 9,716, even when accounting for the AMD part’s other tests, which include lower DirectX scores that drag its average down. The Tesla C2070, meanwhile, has no countervailing wins—the head-to-head shows 1 win for AMD and 0 for NVIDIA.

The Tesla C2070 does retain advantages in certain specifications that the benchmarks do not capture. It offers 6 GB of memory versus the Radeon Pro 5300M’s 4 GB, and its 384-bit bus is three times wider than the AMD card’s 128-bit interface. However, the Radeon Pro 5300M compensates with faster GDDR6 memory at 12 Gbps effective, yielding 192.0 GB/s of bandwidth compared to the Tesla’s 143.4 GB/s from GDDR5 at 3 Gbps effective. In raw compute, the Radeon Pro 5300M lists 3.200 TFLOPS FP32, while the Tesla C2070 manages 1,027.7 GFLOPS (approximately 1.03 TFLOPS), another triple-digit advantage for AMD.

The practical verdict is straightforward: the Radeon Pro 5300M is the superior card for modern compute tasks, with higher scores, better efficiency (85 W TDP versus 238 W), and newer architecture support. The Tesla C2070 is a legacy part whose only virtue in this comparison is its larger memory capacity, which could matter for specific workloads that require more than 4 GB of VRAM but do not stress compute throughput. For anyone choosing between these two based on the data, the AMD card wins decisively.

Architecture Differences

The architectural gap is stark. The Radeon Pro 5300M uses AMD’s RDNA 1.0 architecture on a 7 nm TSMC process, packing 6,400 million transistors into a 158 mm² die. This yields a transistor density of 40.5 million per square millimeter. The Tesla C2070, by contrast, is built on NVIDIA’s Fermi architecture using a 40 nm TSMC process, with 3,100 million transistors spread across a much larger 529 mm² die, giving a density of just 5.9 million per square millimeter. The Radeon Pro 5300M achieves more than double the transistor count in less than a third of the die area, a direct consequence of the process node difference.

The compute resources reflect this generational leap. The Radeon Pro 5300M features 1,280 shading units, 80 texture mapping units, and 32 render output units. The Tesla C2070 has 448 shading units, 56 TMUs, and 48 ROPs. While the Tesla has more ROPs, the AMD card’s shading unit count is nearly three times higher, and its pixel rate of 40.00 GPixel/s dwarfs the Tesla’s 16.07 GPixel/s. The texture rate tells a similar story: 100.0 GTexel/s for AMD versus 32.14 GTexel/s for NVIDIA. The Radeon Pro 5300M also lists FP16 performance at 6.400 TFLOPS (2:1), while the Tesla C2070 has no FP16 data, indicating a lack of native half-precision support.

Memory architecture differs fundamentally. The Radeon Pro 5300M uses 4 GB of GDDR6 on a 128-bit bus, with memory clocked at 1500 MHz (12 Gbps effective) for 192.0 GB/s bandwidth. The Tesla C2070 uses 6 GB of GDDR5 on a 384-bit bus, with memory at 747 MHz (3 Gbps effective) for 143.4 GB/s. The AMD card achieves higher bandwidth despite a narrower bus, thanks to faster memory technology. The Tesla’s larger capacity and wider bus are its only memory advantages, but they do not translate into higher throughput.

The Radeon Pro 5300M supports PCIe 4.0 x8, while the Tesla C2070 uses PCIe 2.0 x16, another sign of the age gap. Display outputs differ as well: the Radeon Pro 5300M is “Portable Device Dependent,” meaning it has no fixed outputs, while the Tesla C2070 offers a single DVI port. Power requirements diverge sharply, with the Radeon Pro 5300M drawing 85 W and requiring no power connectors, whereas the Tesla C2070 consumes 238 W and needs a 6-pin and an 8-pin connector, with a suggested 550 W PSU. The Tesla is a dual-slot card measuring 248 mm (9.8 inches) in length, while the Radeon Pro 5300M has no listed dimensions.

FAQ

Q: Which GPU has the higher OpenCL benchmark score?

A: The AMD Radeon Pro 5300M scores 29,252 in Geekbench OpenCL, while the NVIDIA Tesla C2070 scores 9,716, giving AMD a 201.1% lead.

Q: Does the NVIDIA Tesla C2070 win any benchmark comparison?

A: No. In the single head-to-head benchmark available (Geekbench OpenCL), the AMD Radeon Pro 5300M wins, with 1 win for AMD and 0 for NVIDIA.

Q: Which card has more memory, and does it matter?

A: The Tesla C2070 has 6 GB of GDDR5, while the Radeon Pro 5300M has 4 GB of GDDR6. The AMD card still achieves higher bandwidth at 192.0 GB/s versus 143.4 GB/s, so the Tesla’s capacity advantage does not translate to faster memory performance.

Q: What is the transistor density difference?

A: The Radeon Pro 5300M has a density of 40.5 million transistors per mm² on a 7 nm process, while the Tesla C2070 has 5.9 million per mm² on a 40 nm process.

Q: How do the FP32 compute figures compare?

A: The Radeon Pro 5300M lists 3.200 TFLOPS FP32, whereas the Tesla C2070 lists 1,027.7 GFLOPS, making the AMD card roughly three times faster in single-precision compute.

Q: Which card has better power efficiency?

A: The Radeon Pro 5300M has a TDP of 85 W and needs no power connectors, while the Tesla C2070 has a 238 W TDP and requires both a 6-pin and an 8-pin power connector.

Where Each One Wins

The AMD Radeon Pro 5300M wins in every measurable compute benchmark. Its OpenCL score is 201.1% higher, its FP32 throughput is 3.200 TFLOPS versus 1,027.7 GFLOPS, and its pixel rate of 40.00 GPixel/s is more than double the Tesla’s 16.07 GPixel/s. The texture rate is also a landslide: 100.0 GTexel/s versus 32.14 GTexel/s. For any workload that stresses shading units, texture filtering, or raw compute—such as rendering, simulation, or machine learning inference—the Radeon Pro 5300M is the only rational choice based on the data.

The NVIDIA Tesla C2070’s wins are confined to specifications rather than benchmarks. It offers 6 GB of memory versus 4 GB, which could be a deciding factor for datasets that exceed 4 GB but do not require high throughput. Its 384-bit bus is wider, and its 48 ROPs exceed the AMD card’s 32, which might marginally help in certain pixel-bound tasks. The Tesla also has a longer physical footprint at 248 mm and a dual-slot design, but these are not performance advantages. In terms of benchmark results, the Tesla C2070 has no wins; its only listed score is the OpenCL result where it trails by 201.1%.

The percentile rankings reinforce this split. The Radeon Pro 5300M sits at the 48th percentile of all GPUs, while the Tesla C2070 sits at the 47th. The AMD card’s average benchmark score of 10,013 is 297 points higher than the Tesla’s 9,716 average. Even when compared to its own nearest rivals, the Radeon Pro 5300M holds its ground—it is only 0.3% behind the Quadro K5100M and 0.6% behind the Radeon R9 M375, while leading the Quadro 6000 by 1.7%. The Tesla C2070, meanwhile, is nearly identical to its nearest rivals, with deltas ranging from -0.7% to +0.7%. The data suggests the Tesla is a mid-pack performer from its era, while the Radeon Pro 5300M is a modern part that outclasses it entirely.

Specification Differences

The two cards differ across nearly every specification category. The Radeon Pro 5300M uses a 7 nm process, while the Tesla C2070 uses 40 nm. Transistor counts are 6,400 million versus 3,100 million, and die sizes are 158 mm² versus 529 mm². The Radeon Pro 5300M’s base clock is 1000 MHz with a boost of 1250 MHz, while the Tesla C2070 has no listed base or boost clocks. Memory types differ: GDDR6 at 12 Gbps effective for AMD, GDDR5 at 3 Gbps effective for NVIDIA.

Shading units are 1,280 versus 448, TMUs are 80 versus 56, and ROPs are 32 versus 48. The Radeon Pro 5300M has a pixel rate of 40.00 GPixel/s and a texture rate of 100.0 GTexel/s, while the Tesla C2070 has 16.07 GPixel/s and 32.14 GTexel/s. FP32 performance is 3.200 TFLOPS versus 1,027.7 GFLOPS, and FP16 is 6.400 TFLOPS (2:1) for AMD, with no FP16 listed for NVIDIA. TDP is 85 W versus 238 W, and power connectors are “None” versus “1x 6-pin + 1x 8-pin.”

The bus interface is PCIe 4.0 x8 for the Radeon Pro 5300M and PCIe 2.0 x16 for the Tesla C2070. Display outputs are “Portable Device Dependent” for AMD and “1x DVI” for NVIDIA. The Tesla is dual-slot with a length of 248 mm (9.8 inches), while the Radeon Pro 5300M has no dimensions listed. The APIs differ: the Radeon Pro 5300M supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, while the Tesla C2070 supports DirectX 12 (11_0) and OpenGL 4.6, but no Vulkan. The release dates are 2019-11-12 for AMD and 2011-07-24 for NVIDIA, and both are listed as end-of-life.