NVIDIA A10G vs NVIDIA RTX A4500 Mobile Comparison

NVIDIA
GEFORCE

NVIDIA A10G

CORE STATE GA102
VRAM 24 GB
CLOCK SPEED 1710 MHz
TDP 150 W
BUS WIDTH 384 bit
ARCHITECTURE Ampere
nm
PROCESS 8 nm
LAUNCH DATE 2021
VS
NVIDIA
GEFORCE

RTX A4500 Mobile

CORE STATE GA104
VRAM 16 GB
CLOCK SPEED 1500 MHz
TDP 140 W
BUS WIDTH 256 bit
ARCHITECTURE Ampere
nm
PROCESS 8 nm
LAUNCH DATE 2022

PERFORMANCE BENCHMARKS

geekbench_opencl
158,063
105,307
geekbench_vulkan
145,863
76,960

Analysis: NVIDIA A10G vs NVIDIA RTX A4500 Mobile

Head-to-Head Benchmarks

The recorded data shows a clear performance gap between these two Ampere-based NVIDIA parts. In the Geekbench OpenCL test, the NVIDIA A10G scores 158,063 against the RTX A4500 Mobile's 105,307. That is a 50.1% advantage for the A10G, a decisive margin in compute workloads that scale with raw shading power and memory bandwidth.

The Vulkan result is even more lopsided. The A10G posts 145,863, while the RTX A4500 Mobile manages 76,960. The A10G leads by 89.5%, nearly doubling the mobile part's score. This large delta suggests the A10G's higher boost clocks and wider memory subsystem translate directly into graphics API performance, not just theoretical peak throughput.

Looking at the broader database context, the A10G sits at the 97th percentile among all GPUs, with an average benchmark score of 151,963. Its nearest rivals include the NVIDIA Tesla V100 PCIe 32 GB (150,305, 1.1% slower), the AMD Radeon Pro W6800X (160,671, 5.4% faster), and the NVIDIA A100 PCIe 40 GB (162,504, 6.5% faster). The A10G is firmly in high-end compute territory, trading blows with datacenter accelerators that cost far more in real-world deployments.

The RTX A4500 Mobile, by contrast, sits at the 93rd percentile with an average score of 91,134. Its closest comparisons are the desktop RTX A4500 (91,671, 0.6% faster), the AMD Radeon Instinct MI60 (92,466, 1.4% faster), the NVIDIA Quadro GP100 (87,445, 4.2% slower), and the AMD Radeon PRO W7600 (87,108, 4.6% slower). The mobile part is competitive with its desktop sibling, but it is operating in an entirely different performance class than the A10G.

Across the two head-to-head tests, the A10G wins both. There are no benchmark results in the database where the RTX A4500 Mobile comes out ahead. The performance gap is consistent and large, which makes the architectural comparison straightforward.

Architecture Differences

Both GPUs are built on the Ampere architecture, use Samsung's 8 nm process node, and share the same API support: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. That is where the similarities end.

The A10G uses the GA102 chip, a 28,300 million transistor design on a 628 mm² die. The RTX A4500 Mobile uses the GA104 chip, which packs 17,400 million transistors into a 392 mm² die. The A10G has a transistor density of 45.1 million per mm², while the mobile part is slightly lower at 44.4 million per mm². The A10G is physically a much larger and more complex chip, which explains its higher transistor count and larger die area.

The A10G is a server-oriented part from the "Server Ampere (Axx)" generation, while the RTX A4500 Mobile belongs to the "Ampere-MW (Ax000)" generation. The A10G is a single-slot card with an 8-pin EPS power connector and no display outputs, designed for rack-mounted compute. The RTX A4500 Mobile has no slot width, no power connector, and its display outputs are "Portable Device Dependent," meaning it is soldered into laptops and relies on the host system for power delivery.

Clock speeds differ substantially. The A10G runs at a base of 1320 MHz and boosts to 1710 MHz. The mobile part starts at 930 MHz and boosts to 1500 MHz. The A10G's higher clocks are a direct contributor to its benchmark advantage, especially in Vulkan where the delta is largest.

Memory configurations also diverge. The A10G carries 24 GB of GDDR6 on a 384-bit bus, with memory clocked at 1563 MHz (12.5 Gbps effective) for 600.2 GB/s of bandwidth. The RTX A4500 Mobile has 16 GB of GDDR6 on a 256-bit bus, running at 2000 MHz (16 Gbps effective) for 512.0 GB/s. The A10G has both more capacity and more bandwidth, which matters for large datasets and high-resolution rendering.

Compute resources are heavily skewed toward the A10G. It has 9,216 shading units, 288 TMUs, 96 ROPs, 72 RT cores, and 288 tensor cores. The RTX A4500 Mobile has 5,888 shading units, 184 TMUs, 96 ROPs, 46 RT cores, and 184 tensor cores. The A10G has roughly 56% more shading units, 56% more TMUs, and 57% more RT and tensor cores. The ROP count is identical at 96, which means pixel fill rate is closer than the raw compute numbers suggest.

The A10G produces 31.52 TFLOPS of FP32 and FP16 (1:1 ratio), while the RTX A4500 Mobile produces 17.66 TFLOPS in both. The A10G's pixel rate is 164.2 GPixel/s versus 144.0 GPixel/s for the mobile part, and texture rate is 492.5 GTexel/s versus 276.0 GTexel/s. The A10G is the clear winner in both fill rates.

Where Each One Wins

The A10G wins in every measured category in the database. Its strengths are most pronounced in Vulkan, where it leads by 89.5%. This indicates the A10G's higher boost clock and larger memory bandwidth provide outsized benefits in draw-call-heavy workloads and modern graphics APIs. The OpenCL lead of 50.1% is also substantial, reflecting the raw FP32 throughput advantage.

The A10G's 24 GB memory capacity and 600.2 GB/s bandwidth make it suitable for workloads that need to hold large models or datasets in VRAM. Its 72 RT cores and 288 tensor cores give it headroom for ray tracing and AI inference tasks, though the database does not include dedicated RT or tensor benchmark results.

The RTX A4500 Mobile's only practical advantage is its form factor. It is a mobile part with no external power connector, running at 140 W TDP, designed for workstation laptops. The A10G draws 150 W TDP and requires an 8-pin EPS connector, so it cannot be used in portable systems. For a mobile workstation user who needs Ampere features like RT cores, tensor cores, and DirectX 12 Ultimate support, the RTX A4500 Mobile is the only one of these two that physically fits.

The A10G is end-of-life, as is the RTX A4500 Mobile. Both have successors: the A10G's lineage continues to Server Ada, and the mobile part's to Ada-MW. Neither card is current, but both remain usable in their respective niches.

The Verdict

The data points to a straightforward conclusion: the NVIDIA A10G is the substantially faster GPU. It wins both head-to-head benchmarks by margins of 50.1% and 89.5%, has more than double the average benchmark score (151,963 versus 91,134), and sits higher in the percentile ranking (97th versus 93rd). For anyone choosing between these two purely on performance, the A10G is the obvious pick.

However, the RTX A4500 Mobile is not a bad card. Its average score of 91,134 places it within 1% of the desktop RTX A4500, and it beats the Quadro GP100 by 4.2% and the Radeon PRO W7600 by 4.6%. For a laptop GPU, that is respectable performance. The issue is that the A10G is in a different league entirely, closer to the A100 and Tesla V100 than to any mobile part.

The recommendation depends on the use case. If the system can accept a single-slot, 150 W card with an 8-pin EPS connector and no display outputs, the A10G is the better choice for compute, rendering, or AI workloads. If the requirement is a mobile workstation with integrated graphics output and no external power, the RTX A4500 Mobile is the only viable option, and its performance is adequate for its class.

The database shows no scenario where the RTX A4500 Mobile wins on raw performance. The A10G is faster in OpenCL, faster in Vulkan, and has a higher average score. The mobile part's value lies entirely in its portability and integration, not its benchmark results.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA A10G has an average benchmark score of 151,963, compared to 91,134 for the RTX A4500 Mobile.

Q: How much faster is the A10G in OpenCL?

A: The A10G scores 158,063 versus 105,307 for the RTX A4500 Mobile, a 50.1% advantage.

Q: What is the memory configuration difference?

A: The A10G has 24 GB of GDDR6 on a 384-bit bus with 600.2 GB/s bandwidth. The RTX A4500 Mobile has 16 GB of GDDR6 on a 256-bit bus with 512.0 GB/s bandwidth.

Q: Do both GPUs support the same APIs?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: Which GPU has more RT cores?

A: The A10G has 72 RT cores, while the RTX A4500 Mobile has 46 RT cores.

Q: Can the A10G be used in a laptop?

A: No. The A10G is a single-slot server card with an 8-pin EPS power connector and no display outputs. The RTX A4500 Mobile has no power connector and portable-device-dependent display outputs, making it suitable for laptops.

Specification Differences

| Specification | NVIDIA A10G | 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 | 1320 MHz | 930 MHz |

| Boost Clock | 1710 MHz | 1500 MHz |

| Memory Clock | 1563 MHz, 12.5 Gbps effective | 2000 MHz, 16 Gbps effective |

| Memory Size | 24 GB | 16 GB |

| Memory Type | GDDR6 | GDDR6 |

| Memory Bus Width | 384 bit | 256 bit |

| Memory Bandwidth | 600.2 GB/s | 512.0 GB/s |

| Shading Units | 9216 | 5888 |

| TMUs | 288 | 184 |

| ROPs | 96 | 96 |

| RT Cores | 72 | 46 |

| Tensor Cores | 288 | 184 |

| Pixel Rate | 164.2 GPixel/s | 144.0 GPixel/s |

| Texture Rate | 492.5 GTexel/s | 276.0 GTexel/s |

| FP32 | 31.52 TFLOPS | 17.66 TFLOPS |

| FP16 | 31.52 TFLOPS (1:1) | 17.66 TFLOPS (1:1) |

| TDP | 150 W | 140 W |

| Slot Width | Single-slot | None |

| Power Connectors | 8-pin EPS | None |

| Suggested PSU | 450 W | None |

| Bus Interface | PCIe 4.0 x16 | PCIe 4.0 x16 |

| Display Outputs | No outputs | Portable Device Dependent |

| Release Date | 2021-04-11 | 2022-03-21 |

| Predecessor | Tesla Turing | Quadro Turing-M |

| Successor | Server Ada | Ada-MW |

DETAILED SPECIFICATIONS

SPECIFICATION
A10G
RTX A4500 Mobile
Core Specs
Shading Units
9,216
5,888 -36.1%
Shaders
9,216
5,888 -36.1%
TMUs
288
184 -36.1%
ROPs
96
96 0.0%
SM Count
72
46 -36.1%
Clocks
Base Clock
1320 MHz
930 MHz
Boost Clock
1710 MHz
1500 MHz
Memory Clock
1563 MHz 12.5 Gbps effective
2000 MHz 16 Gbps effective
Memory
Memory Size
24 GB
16 GB
VRAM (MB)
24,576
16,384 -33.3%
Memory Type
GDDR6
GDDR6
Memory Bus
384 bit
256 bit
Bandwidth
600.2 GB/s
512.0 GB/s
Cache
L1 Cache
128 KB (per SM)
128 KB (per SM)
L2 Cache
6 MB
4 MB
Performance
Pixel Rate
164.2 GPixel/s
144.0 GPixel/s
Texture Rate
492.5 GTexel/s
276.0 GTexel/s
FP32 (TFLOPS)
31.52 TFLOPS
17.66 TFLOPS
FP64 (TFLOPS)
985.0 GFLOPS (1:32)
276.0 GFLOPS (1:64)
FP16 (TFLOPS)
31.52 TFLOPS (1:1)
17.66 TFLOPS (1:1)
AI/RT
RT Cores
72
46 -36.1%
Tensor Cores
288
184 -36.1%
Power
TDP
150 W
140 W
TDP (W)
150
140 -6.7%
Suggested PSU
450 W
Power Connectors
8-pin EPS
None
Architecture
Architecture
Ampere
Ampere
GPU Name
GA102
GA104
Generation
Server Ampere (Axx)
Ampere-MW (Ax000)
Process Size
8 nm
8 nm
Transistors
28,300 million
17,400 million
Die Size
628 mm²
392 mm²
Foundry
Samsung
Samsung
Density
45.1M / mm²
44.4M / mm²
API Support
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
OpenGL
4.6
4.6
Vulkan
1.4
1.4
OpenCL
3.0
3.0
CUDA
8.6
8.6
Shader Model
6.8
6.8
Physical
Slot Width
Single-slot
Length
267 mm 10.5 inches
Height
112 mm 4.4 inches
Outputs
No outputs
Portable Device Dependent
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Other
Production
End-of-life
End-of-life
Predecessor
Tesla Turing
Quadro Turing-M
Successor
Server Ada
Ada-MW
View A10G Details View RTX A4500 Mobile Details