NVIDIA A10G vs NVIDIA RTX A3000 Mobile Comparison

FAQ

Q: Which GPU is faster in the database benchmarks, the NVIDIA A10G or the NVIDIA RTX A3000 Mobile?

A: The NVIDIA A10G wins both recorded head-to-head tests. In Geekbench OpenCL it scores 158063 against 79091, a 99.8% advantage, and in Geekbench Vulkan it scores 145863 against 61189, a 138.4% advantage.

Q: How do the two GPUs compare in overall standing among all tested graphics cards?

A: The A10G sits in the 97th percentile of all GPUs, while the RTX A3000 Mobile sits in the 91st percentile. The A10G also posts an average benchmark score of 151963, versus 70140 for the mobile part.

Q: What are the nearest performance rivals for each card according to the database?

A: For the A10G, the closest rival is the NVIDIA Tesla V100 PCIe 32 GB, which trails by 1.1%, and the AMD Radeon Pro W6800X, which leads by 5.4%. For the RTX A3000 Mobile, the NVIDIA Quadro P6000 is 0.2% behind, and the AMD Radeon RX 6600 LE is 1% ahead.

Q: Do both GPUs support the same modern graphics APIs?

A: Yes, both list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 in their specifications.

Q: What is the memory capacity difference between the two cards?

A: The A10G has 24 GB of GDDR6 memory on a 384-bit bus, while the RTX A3000 Mobile has 6 GB of GDDR6 memory on a 192-bit bus.

Q: Are both products still in production?

A: No, the database records both the NVIDIA A10G and the NVIDIA RTX A3000 Mobile as end-of-life products.

Architecture Differences

Both GPUs are built on the Ampere architecture and use Samsung's 8 nm process node, but they diverge significantly in chip design and scale. The A10G uses the GA102 chip, a large server-oriented die measuring 628 mm² with 28,300 million transistors. The RTX A3000 Mobile uses the GA104 chip, a smaller mobile-class die measuring 392 mm² with 17,400 million transistors. Transistor density is nearly identical, with the A10G at 45.1M per mm² and the A3000 Mobile at 44.4M per mm², which indicates the same manufacturing baseline applied to different die sizes.

The compute resources scale accordingly. The A10G packs 9216 shading units, 288 texture mapping units, and 96 ROPs, alongside 72 RT cores and 288 tensor cores. The A3000 Mobile halves much of this: 4096 shading units, 128 TMUs, 64 ROPs, 32 RT cores, and 128 tensor cores. The A10G also delivers higher clock speeds, with a base of 1320 MHz and a boost of 1710 MHz, while the mobile part runs at a 600 MHz base and 1230 MHz boost. This is a substantial gap in raw execution resources.

Memory architecture differs as well. The A10G uses a 384-bit memory bus with 24 GB of GDDR6, achieving 600.2 GB/s of bandwidth. The A3000 Mobile uses a 192-bit bus with only 6 GB of GDDR6, yielding 264.0 GB/s. Effective memory speed is also higher on the A10G, rated at 12.5 Gbps versus 11 Gbps on the mobile card. These differences point to two very different design intents: one for sustained server workloads, the other for power-constrained mobile workstations.

The physical and power profiles reinforce the split. The A10G is a single-slot card, 267 mm long and 112 mm tall, with an 8-pin EPS power connector and a 150 W TDP. It has no display outputs, reflecting its server role. The A3000 Mobile has no listed dimensions or slot width, draws no dedicated power connectors, and runs at a 70 W TDP. Its display outputs are described as portable device dependent, meaning the host laptop determines connectivity.

Both parts share the same API support, including DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and both use a PCIe 4.0 x16 bus interface. The release dates are identical, both launched on April 11, 2021, and both are end-of-life. The predecessor and successor naming also differs: the A10G follows Tesla Turing and leads to Server Ada, while the A3000 Mobile follows Quadro Turing-M and leads to Ada-MW.

Where Each One Wins

The NVIDIA A10G wins every benchmark category recorded in the database. In Geekbench OpenCL, it more than doubles the mobile card's score, and in Geekbench Vulkan the margin grows even larger. The A10G's 24 GB memory pool and 600.2 GB/s bandwidth make it the clear choice for high-capacity data processing and large model inference, where memory size and throughput dominate. Its 150 W TDP and single-slot form factor, with no display outputs, indicate a rack-mounted compute accelerator rather than an interactive workstation part.

The RTX A3000 Mobile wins in the portability and power efficiency domain, though the database does not record a benchmark where it outperforms the A10G. At 70 W TDP with no external power connectors, it is designed for laptops where thermal and electrical budgets are tight. Its 6 GB memory and 264.0 GB/s bandwidth are modest, but they place the card in the 91st percentile of all GPUs, which is respectable for a mobile component. The card's display outputs being portable device dependent means it can drive laptop panels and external monitors through the host system.

In practical terms, the A10G is suited for server-side acceleration tasks such as batch rendering, scientific computing, and AI inference where the 24 GB frame buffer prevents memory swapping. The A3000 Mobile is suited for field work, on-site visualization, and mobile CAD or content creation where the user needs reasonable compute within a laptop chassis. The data shows no scenario in the recorded benchmarks where the mobile card catches up, so the split is not about performance equivalence but about deployment context.

Specification Differences

| Specification | NVIDIA A10G | NVIDIA RTX A3000 Mobile |

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

| Chip | GA102 | GA104 |

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

| Process Node | 8 nm | 8 nm |

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

| Die Size | 628 mm² | 392 mm² |

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

| Base Clock | 1320 MHz | 600 MHz |

| Boost Clock | 1710 MHz | 1230 MHz |

| Memory Clock | 1563 MHz, 12.5 Gbps effective | 1375 MHz, 11 Gbps effective |

| Memory Size | 24 GB | 6 GB |

| Memory Bus Width | 384 bit | 192 bit |

| Memory Bandwidth | 600.2 GB/s | 264.0 GB/s |

| Shading Units | 9216 | 4096 |

| TMUs | 288 | 128 |

| ROPs | 96 | 64 |

| RT Cores | 72 | 32 |

| Tensor Cores | 288 | 128 |

| Pixel Rate | 164.2 GPixel/s | 78.72 GPixel/s |

| Texture Rate | 492.5 GTexel/s | 157.4 GTexel/s |

| FP32 | 31.52 TFLOPS | 10.08 TFLOPS |

| FP16 | 31.52 TFLOPS (1:1) | 10.08 TFLOPS (1:1) |

| TDP | 150 W | 70 W |

| Power Connectors | 8-pin EPS | None |

| Suggested PSU | 450 W | Not specified |

| Slot Width | Single-slot | Not specified |

| Display Outputs | No outputs | Portable Device Dependent |

| Dimensions | 267 mm length, 112 mm height | Not specified |

| Predecessor | Tesla Turing | Quadro Turing-M |

| Successor | Server Ada | Ada-MW |

Head-to-Head Benchmarks

The database records two head-to-head benchmarks between the NVIDIA A10G and the NVIDIA RTX A3000 Mobile, and the A10G wins both decisively. In Geekbench OpenCL, the A10G scores 158063 against 79091 for the mobile part. That is a delta of 99.8%, effectively doubling the score. In Geekbench Vulkan, the A10G scores 145863 against 61189, a delta of 138.4%. This means the A10G delivers nearly two and a half times the Vulkan performance of the A3000 Mobile.

The OpenCL result reflects the raw compute advantage of the A10G. With 9216 shading units and 31.52 TFLOPS of FP32 throughput, the A10G has roughly three times the theoretical FP32 rate of the A3000 Mobile, which has 4096 shading units and 10.08 TFLOPS. The actual benchmark delta of 99.8% is lower than the threefold specification gap, which suggests that memory bandwidth and driver overhead play a role in the real-world result. Still, a doubling of OpenCL performance is a massive margin.

The Vulkan result widens the gap further. The 138.4% delta indicates that the A10G's higher memory bandwidth of 600.2 GB/s, combined with its larger 384-bit bus, benefits graphics-heavy workloads more than the mobile part's 264.0 GB/s. The A10G also has 72 RT cores versus 32, and 288 tensor cores versus 128, which can accelerate ray tracing and AI-assisted rendering tasks. The pixel rate of 164.2 GPixel/s on the A10G is more than double the 78.72 GPixel/s on the mobile card, and the texture rate of 492.5 GTexel/s is more than triple the 157.4 GTexel/s.

Looking at the broader competitive context, the A10G's average benchmark score of 151963 places it near the NVIDIA A100 PCIe 40 GB, which averages 162504 and leads by 6.5%, and the AMD Radeon Pro W6800X, which averages 160671 and leads by 5.4%. It also sits ahead of the AMD Instinct MI100, which averages 139035 and trails by 9.3%. The A3000 Mobile, with an average score of 70140, sits close to the NVIDIA Quadro P6000, which averages 69986 and trails by 0.2%, and the AMD Radeon Pro WX 8200, which averages 69870 and trails by 0.4%. The AMD Radeon RX 6600 LE leads the mobile card by 1%, and the NVIDIA CMP 90HX trails by 1.7%.

The percentile rankings confirm the hierarchy. The A10G is in the 97th percentile of all GPUs, while the A3000 Mobile is in the 91st percentile. That six-percentage-point gap in percentile ranking translates into a two-fold difference in raw scores. The data is unambiguous: the A10G is the stronger compute platform, while the A3000 Mobile trades performance for mobility and lower power draw.