NVIDIA A10M vs NVIDIA RTX A4500 Mobile Comparison

Where Each One Wins

The benchmark data splits cleanly along form factor lines. The NVIDIA A10M is the clear winner in raw compute performance, taking the only recorded head-to-head benchmark with a decisive margin. The NVIDIA RTX A4500 Mobile, by contrast, wins on portability and integration, though the available measurements do not show it ahead in any computational test.

The A10M dominates in OpenCL compute. Its Geekbench OpenCL score of 135,230 puts it 28.4% ahead of the RTX A4500 Mobile's 105,307 in the same test. This is not a marginal gap; it is a substantial performance advantage that will show up in any workload that leans on GPU compute, from rendering to simulation to machine learning inference.

The RTX A4500 Mobile's advantage is not in the benchmark scores but in its physical design. As a mobile part, it draws less power (140 W versus 150 W), requires no external power connectors, and is described as "Portable Device Dependent" for display outputs. The A10M, by contrast, is a single-slot card with an 8-pin EPS connector and no display outputs at all. It is a server part, period.

Looking at the wider database context, the A10M sits at the 96th percentile of all GPUs, while the RTX A4500 Mobile sits at the 93rd. Both are high-end parts, but the A10M is closer to the top of the stack. Its nearest rivals include the NVIDIA RTX 4000 Ada Generation (virtually tied at 135,218, a 0% delta), the AMD Radeon PRO W6800 (135,396, A10M is 0.1% behind), and the AMD Radeon Pro W6800X Duo (135,774, A10M is 0.4% behind). The RTX A4500 Mobile's nearest rivals are the desktop RTX A4500 (91,671, mobile version is 0.6% behind), the AMD Radeon Instinct MI60 (92,466, mobile is 1.4% behind), and the NVIDIA Quadro GP100 (87,445, mobile is 4.2% ahead).

The use case split is therefore simple: if you need maximum compute in a fixed installation, the A10M is the pick. If you need a workstation-class GPU inside a laptop, the RTX A4500 Mobile is the only one of the two that exists in that form factor.

Architecture Differences

Both GPUs are built on NVIDIA's Ampere architecture, but they are not the same chip. The A10M uses the GA102 die, the same large silicon found in NVIDIA's top consumer and professional Ampere parts. The RTX A4500 Mobile uses the GA104 die, a smaller and more power-efficient chip.

The process node is identical: both are fabricated on Samsung's 8 nm process. The foundry is also the same, Samsung. What differs is the scale of the silicon. The GA102 packs 28,300 million transistors on a 628 mm² die, with a transistor density of 45.1 million per square millimeter. The GA104 is substantially smaller at 17,400 million transistors on a 392 mm² die, with a density of 44.4 million per square millimeter.

The A10M has more of everything that matters for compute. It carries 7,168 shading units, 224 texture mapping units, 80 raster output units, 56 ray tracing cores, and 224 tensor cores. The RTX A4500 Mobile has 5,888 shading units, 184 TMUs, 96 ROPs, 46 ray tracing cores, and 184 tensor cores. The A10M leads in shading units by 21.7%, in TMUs by 21.7%, in ray tracing cores by 21.7%, and in tensor cores by 21.7%. The RTX A4500 Mobile actually has more ROPs: 96 versus 80, a 20% advantage in pixel throughput hardware.

Clock speeds also favor the A10M. Its base clock is 975 MHz versus 930 MHz on the mobile part, and its boost clock reaches 1,635 MHz versus 1,500 MHz. Memory clocks differ too: the A10M runs its GDDR6 at 1,563 MHz (12.5 Gbps effective), while the RTX A4500 Mobile runs at 2,000 MHz (16 Gbps effective). The mobile part has faster memory clock speed, but the A10M compensates with a wider bus.

The memory subsystem is a key differentiator. The A10M has 20 GB of GDDR6 on a 320-bit bus, yielding 500.2 GB/s of bandwidth. The RTX A4500 Mobile has 16 GB of GDDR6 on a 256-bit bus, yielding 512.0 GB/s. Despite having less memory and a narrower bus, the mobile part's higher memory clock gives it slightly more bandwidth. The A10M, however, offers 25% more capacity.

Both parts support PCIe 4.0 x16 and the same API set: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The A10M is classified as Server Ampere (Axx) generation with a predecessor of Tesla Turing and successor of Server Ada. The RTX A4500 Mobile is Ampere-MW (Ax000) generation with a predecessor of Quadro Turing-M and successor of Ada-MW. Both are end-of-life products.

Head-to-Head Benchmarks

The database contains one head-to-head benchmark between these two parts: Geekbench OpenCL. The A10M scores 135,230, and the RTX A4500 Mobile scores 105,307. That is a 28.4% advantage for the A10M.

To put that in context, the A10M's OpenCL score is nearly identical to the NVIDIA RTX 4000 Ada Generation (135,218, a 0% delta) and slightly behind the AMD Radeon PRO W6800 (135,396, a 0.1% deficit). The A10M also trails the AMD Radeon Pro W6800X Duo by 0.4% and the AMD Radeon PRO V620 by 0.9%. So the A10M is essentially at parity with a group of very strong workstation GPUs, all within 1% of each other.

The RTX A4500 Mobile's OpenCL score of 105,307 is harder to place directly, since its average benchmark score (91,134) includes a Vulkan result as well. Its nearest rival is the desktop NVIDIA RTX A4500, which averages 91,671, putting the mobile part 0.6% behind. The AMD Radeon Instinct MI60 averages 92,466, which is 1.4% ahead of the mobile part. The RTX A4500 Mobile is 4.2% ahead of the NVIDIA Quadro GP100 (87,445) and 4.6% ahead of the AMD Radeon PRO W7600 (87,108).

The Vulkan result for the RTX A4500 Mobile is 76,960, but there is no corresponding Vulkan result for the A10M in the database, so a direct comparison is not possible. The OpenCL result is the only apples-to-apples measurement, and it goes decisively to the A10M.

In terms of theoretical peak rates, the A10M's FP32 throughput is 23.44 TFLOPS, and its FP16 throughput is also 23.44 TFLOPS (1:1 ratio). The RTX A4500 Mobile delivers 17.66 TFLOPS in both FP32 and FP16. The A10M is 32.7% ahead in raw floating-point throughput. Pixel fill rates are closer: the A10M does 130.8 GPixel/s, while the RTX A4500 Mobile does 144.0 GPixel/s, a 10.1% advantage for the mobile part. Texture fill rates favor the A10M: 366.2 GTexel/s versus 276.0 GTexel/s, a 32.7% lead.

The picture is consistent. The A10M wins compute-heavy workloads by a wide margin. The RTX A4500 Mobile wins only on pixel throughput and memory bandwidth, which are secondary in most professional GPU workloads.

The Verdict

The data points to a clear conclusion: choose the NVIDIA A10M if you need maximum compute performance and are installing in a server or workstation chassis. Choose the NVIDIA RTX A4500 Mobile if you need a GPU that fits inside a laptop and can run on portable power.

The A10M is 28.4% faster in the only shared benchmark, and it offers 20 GB of memory versus 16 GB on the mobile part. Its compute resources are uniformly larger: more shading units, more TMUs, more ray tracing cores, more tensor cores, and higher clock speeds. For rendering, simulation, AI inference, or any OpenCL compute workload, the A10M is the stronger part by a substantial margin.

The RTX A4500 Mobile is not without merit. It has more ROPs (96 versus 80), higher pixel fill rate (144.0 GPixel/s versus 130.8 GPixel/s), and higher memory bandwidth (512.0 GB/s versus 500.2 GB/s). It also consumes less power (140 W versus 150 W) and requires no external power connectors. For laptop builders who need a professional Ampere GPU with 16 GB of memory, it is a capable choice. Its average benchmark score of 91,134 places it in the 93rd percentile of all GPUs, and it is within 0.6% of the desktop RTX A4500.

But the two parts are not competing for the same socket. The A10M is a single-slot server card, 267 mm long and 112 mm tall, with an 8-pin EPS connector and no display outputs. The RTX A4500 Mobile is a mobile chip with no fixed dimensions, no power connectors, and display outputs that depend on the host device. If you are building a desktop workstation, the A10M is the obvious choice. If you are building a laptop, the RTX A4500 Mobile is the only option.

The production status of both parts is end-of-life, so availability may be limited. The A10M has no recorded release date, while the RTX A4500 Mobile was released on 2022-03-21. Neither has a launch MSRP in the database.

FAQ

Q: Which GPU is faster in OpenCL compute?

A: The NVIDIA A10M scores 135,230 in Geekbench OpenCL, which is 28.4% higher than the RTX A4500 Mobile's 105,307.

Q: How much memory does each GPU have?

A: The A10M has 20 GB of GDDR6 on a 320-bit bus, while the RTX A4500 Mobile has 16 GB of GDDR6 on a 256-bit bus.

Q: Which GPU has higher memory bandwidth?

A: The RTX A4500 Mobile has 512.0 GB/s of bandwidth, slightly ahead of the A10M's 500.2 GB/s, due to its faster memory clock of 2,000 MHz versus 1,563 MHz.

Q: Are both GPUs based on the same architecture?

A: Yes, both use NVIDIA's Ampere architecture and are fabricated on Samsung's 8 nm process, but they use different chips: the A10M uses GA102, and the RTX A4500 Mobile uses GA104.

Q: Which GPU has more ray tracing cores?

A: The A10M has 56 ray tracing cores, compared to 46 on the RTX A4500 Mobile.

Q: Can the A10M be used in a laptop?

A: No. The A10M is a single-slot server card with no display outputs and requires an 8-pin EPS power connector. The RTX A4500 Mobile is designed for portable devices with no power connectors.

Specification Differences

| Specification | NVIDIA A10M | NVIDIA RTX A4500 Mobile |

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

| Chip | GA102 | GA104 |

| Generation | Server Ampere (Axx) | Ampere-MW (Ax000) |

| Transistors | 28,300 million | 17,400 million |

| Die Size | 628 mm² | 392 mm² |

| Transistor Density | 45.1M / mm² | 44.4M / mm² |

| Base Clock | 975 MHz | 930 MHz |

| Boost Clock | 1635 MHz | 1500 MHz |

| Memory Clock | 1563 MHz (12.5 Gbps effective) | 2000 MHz (16 Gbps effective) |

| Memory Size | 20 GB | 16 GB |

| Memory Bus Width | 320 bit | 256 bit |

| Memory Bandwidth | 500.2 GB/s | 512.0 GB/s |

| Shading Units | 7168 | 5888 |

| TMUs | 224 | 184 |

| ROPs | 80 | 96 |

| Ray Tracing Cores | 56 | 46 |

| Tensor Cores | 224 | 184 |

| Pixel Rate | 130.8 GPixel/s | 144.0 GPixel/s |

| Texture Rate | 366.2 GTexel/s | 276.0 GTexel/s |

| FP32 / FP16 | 23.44 TFLOPS | 17.66 TFLOPS |

| TDP | 150 W | 140 W |

| Slot Width | Single-slot | Not specified |

| Power Connectors | 8-pin EPS | None |

| Suggested PSU | 450 W | Not specified |

| Display Outputs | No outputs | Portable Device Dependent |

| Dimensions | 267 mm x 112 mm | Not specified |

| Release Date | Not specified | 2022-03-21 |

| Predecessor | Tesla Turing | Quadro Turing-M |

| Successor | Server Ada | Ada-MW |

| Production Status | End-of-life | End-of-life |