AMD Radeon RX 5300M vs NVIDIA Tesla M60 Comparison

# AMD Radeon RX 5300M vs NVIDIA Tesla M60

The recorded data places these two end-of-life graphics cards in different segments of the performance spectrum. The AMD Radeon RX 5300M, a mobile RDNA 1.0 part, delivers a higher benchmark score than the NVIDIA Tesla M60, a dual-GPU server accelerator from the Maxwell generation. The database shows one head-to-head benchmark result, and the AMD card wins that contest by a decisive margin, though the Tesla M60 counters with a larger memory pool and higher raw compute ceilings in specific metrics.

Where Each One Wins

The AMD Radeon RX 5300M wins the only direct benchmark comparison recorded in the database. In Geekbench OpenCL, the RX 5300M scores 36529 against the Tesla M60's 29506, a 23.8% advantage. This makes the RX 5300M the stronger choice for OpenCL-accelerated workloads, which typically include general-purpose compute tasks, image processing, and some machine learning inference. The card also holds a higher percentile ranking, sitting at the 80th percentile of all GPUs, compared to the Tesla M60's 75th percentile. That five-point gap indicates the RX 5300M outperforms a larger fraction of the GPU population in aggregate benchmark terms.

The NVIDIA Tesla M60, however, wins in areas not captured by the single benchmark. Its 8 GB memory capacity is more than double the RX 5300M's 3 GB, making it better suited for workloads that require large datasets to reside on the GPU without spilling to system memory. The Tesla M60 also has a higher FP32 compute rating at 4.825 TFLOPS versus the RX 5300M's 4.069 TFLOPS, suggesting an edge in pure floating-point throughput when the workload is not limited by the benchmark's specific characteristics. Additionally, the Tesla M60 supports Vulkan, with a recorded Geekbench Vulkan score of 31473, while the RX 5300M has no Vulkan benchmark result in the database, leaving that API's performance unmeasured for the AMD card.

In terms of memory bandwidth, the two are nearly tied: the RX 5300M offers 168.0 GB/s, and the Tesla M60 offers 160.4 GB/s, a difference of less than 5%. This means neither card has a meaningful bandwidth advantage in the recorded data.

Architecture Differences

The architectural gap between these two cards is substantial, reflecting their different release timelines and target markets. The AMD Radeon RX 5300M uses the Navi 14 chip built on RDNA 1.0 architecture, fabricated on TSMC's 7 nm process. It contains 6,400 million transistors on a 158 mm² die, yielding a transistor density of 40.5 million per square millimeter. The NVIDIA Tesla M60 uses the GM204 chip on Maxwell 2.0 architecture, built on a 28 nm process. It packs 5,200 million transistors into a 398 mm² die, for a density of 13.1 million per square millimeter. The process node difference is stark: 7 nm versus 28 nm, which explains the RX 5300M's much higher transistor density despite having more transistors in a smaller area.

The memory subsystems differ in type and configuration. The RX 5300M uses 3 GB of GDDR6 on a 96-bit bus, while the Tesla M60 uses 8 GB of GDDR5 on a 256-bit bus. Clock speeds also diverge: the RX 5300M runs at a 1000 MHz base and 1445 MHz boost, with a game clock of 1181 MHz and memory at 1750 MHz (14 Gbps effective). The Tesla M60 runs at a 557 MHz base and 1178 MHz boost, with memory at 1253 MHz (5 Gbps effective). The AMD card's higher clock speeds compensate for its narrower memory bus, resulting in comparable bandwidth.

Feature sets differ as well. The RX 5300M has no display outputs, instead relying on "Portable Device Dependent" output, meaning it is designed for laptops and requires the host system's display path. The Tesla M60 has no outputs at all, being a server accelerator. The RX 5300M uses PCIe 4.0 x8, while the Tesla M60 uses PCIe 3.0 x16, giving the AMD card twice the per-lane bandwidth but half the lane count. Power delivery also differs: the RX 5300M has no external power connectors and a TDP of 85 W, while the Tesla M60 requires a single 8-pin connector, a dual-slot cooler, a 700 W suggested PSU, and draws 300 W. The Tesla M60 is also physically longer at 267 mm (10.5 inches), whereas the RX 5300M's dimensions are not recorded.

Head-to-Head Benchmarks

The sole head-to-head benchmark in the database is Geekbench OpenCL, and the AMD Radeon RX 5300M wins decisively. The score difference is 36529 versus 29506, a delta of 23.8%. This is not a marginal victory; it places the RX 5300M nearly a quarter ahead of the Tesla M60 in this specific compute test. Context from each card's nearest rivals reinforces the magnitude. The RX 5300M's closest competitors include the NVIDIA GeForce GTX TITAN X at 36530 (0% delta), the NVIDIA T1000 at 36289 (0.7% ahead of the RX 5300M), the AMD Radeon PRO W6400 at 37157 (1.7% ahead), and the AMD Radeon Pro Duo at 35860 (1.9% behind). The Tesla M60's nearest rivals include the NVIDIA CMP 70HX at 30476 (0% delta), the AMD Radeon RX 6700 at 30433 (0.2% ahead), the AMD Radeon RX 6800 at 30095 (1.3% ahead), and the NVIDIA GeForce RTX 3070 Ti at 29945 (1.8% ahead). These clusters show that the RX 5300M competes with higher-tier cards, while the Tesla M60 aligns with mid-range desktop parts.

The Tesla M60 does have a recorded Geekbench Vulkan score of 31473, which exceeds its OpenCL score. However, since the RX 5300M has no Vulkan result, no cross-API comparison is possible from the data. The OpenCL result stands as the only direct measurement, and it favors AMD.

FAQ

Q: Which card has the higher benchmark score?

A: The AMD Radeon RX 5300M scores 36529 in Geekbench OpenCL, compared to the NVIDIA Tesla M60's 29506, giving the AMD card a 23.8% lead.

Q: Does the Tesla M60 have any advantage in memory capacity?

A: Yes, the Tesla M60 has 8 GB of GDDR5 memory, while the RX 5300M has 3 GB of GDDR6. The Tesla M60's memory bus is also wider at 256 bit versus 96 bit.

Q: How do the two cards compare in compute throughput?

A: The Tesla M60 rates higher in FP32 at 4.825 TFLOPS, while the RX 5300M rates at 4.069 TFLOPS. The Tesla M60 also has higher pixel and texture rates: 75.39 GPixel/s and 150.8 GTexel/s versus 46.24 GPixel/s and 127.2 GTexel/s.

Q: What are the power requirements for each card?

A: The RX 5300M has a TDP of 85 W and no external power connectors. The Tesla M60 has a TDP of 300 W, requires one 8-pin power connector, and a 700 W suggested PSU.

Q: Which card is newer in the database?

A: The RX 5300M was released on 2019-11-12, while the Tesla M60 was released on 2015-08-29. The RX 5300M is the newer part by over four years.

Q: Do both cards support the same APIs?

A: Both support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The RX 5300M also supports FP16 compute at 8.138 TFLOPS (2:1), while the Tesla M60 has no recorded FP16 rating.

Specification Differences

The following specifications differ between the two cards, based solely on the recorded data:

• Process Node: RX 5300M uses 7 nm; Tesla M60 uses 28 nm.
• Transistors: RX 5300M has 6,400 million; Tesla M60 has 5,200 million.
• Die Size: RX 5300M is 158 mm²; Tesla M60 is 398 mm².
• Transistor Density: RX 5300M is 40.5M per mm²; Tesla M60 is 13.1M per mm².
• Base Clock: RX 5300M is 1000 MHz; Tesla M60 is 557 MHz.
• Boost Clock: RX 5300M is 1445 MHz; Tesla M60 is 1178 MHz.
• Game Clock: RX 5300M is 1181 MHz; Tesla M60 has no game clock recorded.
• Memory Clock: RX 5300M is 1750 MHz (14 Gbps effective); Tesla M60 is 1253 MHz (5 Gbps effective).
• Memory Size: RX 5300M is 3 GB; Tesla M60 is 8 GB.
• Memory Type: RX 5300M is GDDR6; Tesla M60 is GDDR5.
• Memory Bus Width: RX 5300M is 96 bit; Tesla M60 is 256 bit.
• Memory Bandwidth: RX 5300M is 168.0 GB/s; Tesla M60 is 160.4 GB/s.
• Shading Units: RX 5300M has 1408; Tesla M60 has 2048.
• Texture Mapping Units: RX 5300M has 88; Tesla M60 has 128.
• Render Output Units: RX 5300M has 32; Tesla M60 has 64.
• Pixel Rate: RX 5300M is 46.24 GPixel/s; Tesla M60 is 75.39 GPixel/s.
• Texture Rate: RX 5300M is 127.2 GTexel/s; Tesla M60 is 150.8 GTexel/s.
• FP32 Compute: RX 5300M is 4.069 TFLOPS; Tesla M60 is 4.825 TFLOPS.
• FP16 Compute: RX 5300M is 8.138 TFLOPS (2:1); Tesla M60 has no recorded value.
• TDP: RX 5300M is 85 W; Tesla M60 is 300 W.
• Slot Width: RX 5300M has no recorded value; Tesla M60 is dual-slot.
• Power Connectors: RX 5300M has none; Tesla M60 has 1x 8-pin.
• Suggested PSU: RX 5300M has no recorded value; Tesla M60 is 700 W.
• Bus Interface: RX 5300M is PCIe 4.0 x8; Tesla M60 is PCIe 3.0 x16.
• Display Outputs: RX 5300M is Portable Device Dependent; Tesla M60 has no outputs.
• Dimensions: RX 5300M has no recorded length; Tesla M60 is 267 mm (10.5 inches).
• Release Date: RX 5300M is 2019-11-12; Tesla M60 is 2015-08-29.
• Predecessor: RX 5300M's predecessor is Polaris Mobile; Tesla M60's predecessor is Tesla Kepler.
• Successor: RX 5300M has no recorded successor; Tesla M60's successor is Tesla Pascal.
• Benchmark Scores: RX 5300M has one OpenCL score of 36529; Tesla M60 has OpenCL 29506 and Vulkan 31473.
• Percentile: RX 5300M is at 80; Tesla M60 is at 75.

The Verdict

The data points to a clear split based on workload and platform. For users prioritizing OpenCL compute performance in a mobile or low-power context, the AMD Radeon RX 5300M is the superior choice. Its 23.8% lead in the head-to-head benchmark, higher percentile ranking, and 85 W TDP make it more efficient and faster in the measured workload. The 7 nm process and newer architecture (RDNA 1.0 versus Maxwell 2.0) deliver higher clocks and better transistor density, which translate directly into the benchmark advantage.

For users requiring large on-board memory for data-heavy tasks, the NVIDIA Tesla M60 is the better option. Its 8 GB GDDR5 frame buffer, 256-bit bus, and higher FP32, pixel, and texture rates make it more capable for workloads that exceed the RX 5300M's 3 GB capacity. The Tesla M60 also supports Vulkan, with a recorded score of 31473, offering an API option that the RX 5300M lacks in the database. Its server-oriented design, with no display outputs and a 300 W TDP, suits datacenter deployment rather than portable systems.

The verdict from the recorded measurements is straightforward: the RX 5300M wins the compute benchmark decisively, while the Tesla M60 wins on capacity and raw throughput metrics. The choice depends entirely on whether the workload is memory-bound or compute-bound, and whether the platform is a laptop or a rack server. The RX 5300M is the faster part in the only direct comparison available, but the Tesla M60 remains relevant for specific use cases that the benchmark does not capture.