AMD Radeon RX 9060 vs NVIDIA Tesla K20m Comparison
AMD Radeon RX 9060
Tesla K20m
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon RX 9060 vs NVIDIA Tesla K20m
The Verdict
The data splits this comparison into two very different realities. The AMD Radeon RX 9060 is the clear winner in every recorded head-to-head benchmark, and the only GPU here that makes sense for modern gaming or general compute workloads. The NVIDIA Tesla K20m, by contrast, is an end-of-life compute card with no display outputs, a 2013 release date, and a benchmark profile that places it in a different performance tier entirely.
For a builder assembling a new system in 2025 or later, the RX 9060 is the obvious choice. It wins both shared benchmarks by massive margins: 81.6% in Geekbench OpenCL and 44.4% in Geekbench Vulkan. Its average benchmark score of 16014 is lower than the Tesla K20m's 19089, but that is misleading because the averages are computed over different test suites. The RX 9060 was tested across ten workloads including DirectX 9 through 12, 3DMark Steel Nomad, and compute tests. The K20m only has two recorded scores, both in Geekbench.
The RX 9060 also carries modern features that the K20m lacks entirely: 28 ray tracing cores, DirectX 12 Ultimate support, Vulkan 1.4, and display outputs (1x HDMI 2.1b, 2x DisplayPort 2.1a). The K20m has no display outputs, making it useless for any interactive workload. Its DirectX support is capped at 12 (11_0), and its Vulkan version is 1.2.175.
The only scenario where the K20m makes sense is if you have a legacy compute application that specifically requires Kepler architecture and you cannot migrate it. Even then, its 5 GB GDDR5 memory and 208.0 GB/s bandwidth are dwarfed by the RX 9060's 8 GB GDDR6 and 288.0 GB/s. The K20m's 3.524 TFLOPS FP32 performance is a fraction of the RX 9060's 21.43 TFLOPS.
The verdict is straightforward: buy the RX 9060 for any current workload. The K20m is a museum piece for specialized legacy compute tasks only.
FAQ
Q: Which GPU has the higher average benchmark score?
A: The NVIDIA Tesla K20m has an average benchmark score of 19089, while the AMD Radeon RX 9060 averages 16014. However, the K20m's average comes from only two Geekbench tests, while the RX 9060's average spans ten different workloads including DirectX and 3DMark tests.
Q: Can the Tesla K20m drive a display?
A: No. The K20m has no display outputs. The RX 9060 has 1x HDMI 2.1b and 2x DisplayPort 2.1a outputs.
Q: Which GPU supports hardware ray tracing?
A: Only the AMD Radeon RX 9060. It has 28 ray tracing cores. The Tesla K20m has no ray tracing cores listed.
Q: How do the two GPUs compare in memory bandwidth?
A: The RX 9060 has 288.0 GB/s bandwidth with 8 GB GDDR6 on a 128-bit bus. The K20m has 208.0 GB/s with 5 GB GDDR5 on a 320-bit bus.
Q: What is the power consumption difference?
A: The RX 9060 has a TDP of 132 W and a suggested PSU of 300 W. The K20m has a TDP of 225 W and a suggested PSU of 550 W.
Q: Which GPU has a higher percentile ranking?
A: The K20m ranks in the 64th percentile against all GPUs, while the RX 9060 ranks in the 59th percentile. Again, this reflects different benchmark suites.
Architecture Differences
The architectural gap between these two GPUs is generational. The Tesla K20m uses the GK110 chip built on Kepler architecture, manufactured on a 28 nm process at TSMC. It packs 7,080 million transistors into a 561 mm² die, giving a transistor density of 12.6 million per square millimeter. The RX 9060 uses the Navi 44 chip on RDNA 4.0 architecture, also from TSMC but on a 4 nm process. It contains 29,700 million transistors in a much smaller 199 mm² die, achieving a transistor density of 149.2 million per square millimeter.
The Kepler design is a compute-oriented architecture from the Tesla generation (Kxx). It was designed for GPGPU workloads like scientific simulation and deep learning, not for graphics output. The RDNA 4.0 architecture in the RX 9060 is a gaming-first design that also handles compute tasks. It includes 28 ray tracing cores, a feature entirely absent from the K20m.
The memory subsystems reflect different design philosophies. The K20m uses 5 GB of GDDR5 on a wide 320-bit bus, achieving 208.0 GB/s. The RX 9060 uses 8 GB of GDDR6 on a narrower 128-bit bus, but achieves higher bandwidth at 288.0 GB/s thanks to faster memory clocks (18 Gbps effective versus 5.2 Gbps effective for the K20m).
The RX 9060 also supports 1:1 FP16 compute at 21.43 TFLOPS, which is the same as its FP32 rate. The K20m lists no FP16 capability. This makes the RX 9060 significantly more flexible for mixed-precision workloads.
Specification Differences
The two GPUs differ in nearly every specification field. The K20m has 2496 shading units, 208 texture mapping units, and 40 render output units. The RX 9060 has fewer shading units at 1792, fewer TMUs at 112, but more ROPs at 64. The RX 9060's pixel rate is 191.4 GPixel/s versus 36.71 GPixel/s for the K20m. Texture rate is 334.9 GTexel/s versus 146.8 GTexel/s.
Clock speeds are not directly comparable because the K20m lists no base or boost clock, only a memory clock of 1300 MHz (5.2 Gbps effective). The RX 9060 has a base clock of 1700 MHz, a boost clock of 2990 MHz, and a game clock of 2400 MHz. Its memory clock is 2250 MHz (18 Gbps effective).
The FP32 compute figures show the biggest gap: the K20m delivers 3.524 TFLOPS, while the RX 9060 delivers 21.43 TFLOPS. That is a sixfold difference in raw compute throughput.
Power requirements differ substantially. The K20m has a TDP of 225 W, uses a 1x 6-pin + 1x 8-pin power connector setup, and needs a 550 W suggested PSU. The RX 9060 has a TDP of 132 W, a single 8-pin connector, and only requires a 300 W PSU.
The bus interface also differs: the K20m uses PCIe 2.0 x16, while the RX 9060 uses PCIe 5.0 x16. This affects data transfer speeds between the GPU and system memory.
The K20m is 267 mm long (10.5 inches) and is a dual-slot card. The RX 9060's dimensions are not recorded in the database, but it is also dual-slot. The K20m is end-of-life and was released on 2013-01-04. The RX 9060 is active and was released on 2025-08-04.
The K20m had a launch MSRP of 3,199 USD. The RX 9060 has no recorded launch MSRP.
Head-to-Head Benchmarks
Only two benchmarks were run on both GPUs, and the RX 9060 wins both decisively.
In Geekbench OpenCL, the RX 9060 scores 88183 versus the K20m's 16241. The delta is 81.6% in favor of AMD. This is the single largest performance gap in the comparison. OpenCL is a compute workload that stresses raw throughput, and the RX 9060's 21.43 TFLOPS FP32 capability simply overwhelms the K20m's 3.524 TFLOPS.
In Geekbench Vulkan, the RX 9060 scores 39476 versus the K20m's 21936. The delta is 44.4% in favor of AMD. Vulkan is a graphics API, and the K20m's lack of modern architecture features shows here. The RX 9060 also has a newer Vulkan version (1.4 versus 1.2.175), which enables better driver optimizations.
The RX 9060 wins both head-to-head tests, giving it 2 wins out of 2. The K20m has 0 wins. There are no benchmarks in the database where the K20m outperforms the RX 9060.
The RX 9060's additional benchmark scores, which have no K20m equivalent, provide context. It scores 3322 in 3DMark Steel Nomad DX12, 17631 in Passmark G3D, and 9919 in Passmark GPU Compute. These are strong numbers for a 132 W card.
Where Each One Wins
The RX 9060 wins in every measurable category. It is faster in both shared benchmarks, has more memory bandwidth, more compute throughput, and supports modern graphics APIs including DirectX 12 Ultimate and Vulkan 1.4. Its ray tracing cores make it suitable for games that use hardware-accelerated ray tracing, a feature the K20m cannot offer.
For gaming, the RX 9060 is the only viable option because the K20m has no display outputs. You cannot connect a monitor to the Tesla K20m. Even if you could, its DirectX 12 (11_0) support is outdated, and its 5 GB VRAM is below the requirements of many modern titles.
For compute workloads like machine learning inference, scientific simulation, or video encoding, the RX 9060's 8 GB GDDR6 memory, 21.43 TFLOPS FP32, and 1:1 FP16 support make it a capable accelerator. It also consumes 132 W versus 225 W, so it runs cooler and requires a smaller PSU.
The K20m's only theoretical advantage is its legacy Kepler architecture. Some very old compute code may be tuned specifically for Kepler's instruction set. However, the K20m is end-of-life, and its 5 GB memory capacity and 208.0 GB/s bandwidth are limiting factors. Its nearest rivals in the database are the GeForce RTX 4050 Mobile (0.2% ahead), RX 6600 (0.3% ahead), and Quadro K6000 (0.3% ahead), all of which are modern or semi-modern GPUs with better feature support.
The RX 9060's nearest rivals include the GeForce RTX 3060 Ti (0.7% behind), Radeon R9 370X (1% ahead), and Radeon RX 7700 (1% ahead). This places it in a competitive midrange segment, despite its lower average benchmark score. The K20m's 64th percentile ranking versus the RX 9060's 59th percentile reflects different test suites, not actual performance equivalence.
In practical terms, the RX 9060 wins everywhere that matters. The K20m is a niche product for a niche use case, and even then, its performance is a fraction of what the RX 9060 delivers. Choose the RX 9060 unless you have a specific, unchangeable requirement for Kepler compute.