NVIDIA B200 vs NVIDIA RTX A4500 Mobile Comparison

Head-to-Head Benchmarks

The only shared benchmark in the database is Geekbench OpenCL, and the result is decisive. The NVIDIA B200 records a score of 345,482, while the NVIDIA RTX A4500 Mobile scores 105,307. This gives the B200 a 228.1% advantage, meaning it delivers more than three times the OpenCL compute performance of the mobile workstation part. The delta is so large that it places the two products in entirely different performance tiers, not merely adjacent segments.

To contextualize the B200's score, the database shows it sits at the 100th percentile among all GPUs. Its nearest tracked rival is the NVIDIA B300 SXM6 AC, which scores 369,831, putting the B200 6.6% behind that part. Against the NVIDIA H200 NVL, the B200 is 3.2% ahead (334,891). The AMD Instinct MI300X trails by 8.6% (317,994), and the NVIDIA L40S is 16.8% behind with 295,763. These are narrow margins at the top of the stack, indicating that the B200 is competitive with the fastest accelerators currently measured, though not the absolute peak in every configuration.

The RTX A4500 Mobile, by contrast, sits at the 93rd percentile. Its nearest rival is the desktop NVIDIA RTX A4500, which scores 91,671, a mere 0.6% higher. The AMD Radeon Instinct MI60 is 1.4% ahead at 92,466. The mobile part does beat the NVIDIA Quadro GP100 by 4.2% (87,445) and the AMD Radeon PRO W7600 by 4.6% (87,108). This places the A4500 Mobile in a crowded mid-to-high tier where differences between adjacent products are small, typically under 5%. The data shows that the mobile GPU is a solid performer in its class, but it is nowhere near the absolute performance ceiling occupied by the B200.

The OpenCL result is the only head-to-head data point, so it dominates the comparison. The B200 wins the sole recorded benchmark and therefore holds a 1-0 win record. The A4500 Mobile has no wins in this dataset. There is no Vulkan score recorded for the B200, so the A4500 Mobile's Vulkan result of 76,960 cannot be directly compared; it is noted in the database but has no counterpart on the server side.

FAQ

Q: Which GPU has the higher Geekbench OpenCL score?

A: The NVIDIA B200 scores 345,482, which is 228.1% higher than the RTX A4500 Mobile's 105,307.

Q: How does the B200 compare to its nearest rivals?

A: The B200 is 3.2% ahead of the NVIDIA H200 NVL (334,891), 8.6% ahead of the AMD Instinct MI300X (317,994), and 16.8% ahead of the NVIDIA L40S (295,763). It is 6.6% behind the NVIDIA B300 SXM6 AC (369,831).

Q: How does the RTX A4500 Mobile compare to similar GPUs?

A: It is 0.6% behind the desktop NVIDIA RTX A4500 (91,671) and 1.4% behind the AMD Radeon Instinct MI60 (92,466). It leads the NVIDIA Quadro GP100 by 4.2% (87,445) and the AMD Radeon PRO W7600 by 4.6% (87,108).

Q: What memory configurations do the two GPUs use?

A: The B200 has 90 GB of HBM3e on a 4096-bit bus with 4.10 TB/s bandwidth. The RTX A4500 Mobile has 16 GB of GDDR6 on a 256-bit bus with 512.0 GB/s bandwidth.

Q: What is the production status of each product?

A: The NVIDIA B200 is listed as Active. The NVIDIA RTX A4500 Mobile is listed as End-of-life.

Q: What is the transistor count difference?

A: The B200 uses 104,000 million transistors on a 5 nm process, while the A4500 Mobile uses 17,400 million transistors on an 8 nm process.

Architecture Differences

The two GPUs come from different architectural generations and target completely different market segments. The B200 is built on the Blackwell architecture with the GB100 chip, manufactured by TSMC on a 5 nm process. Its generation is listed as Server Blackwell (Bxx), and it is positioned in the server accelerator space. The RTX A4500 Mobile uses the Ampere architecture with the GA104 chip, manufactured by Samsung on an 8 nm process. Its generation is Ampere-MW (Ax000), and it is a mobile workstation part.

The transistor counts reflect the scale gap. The B200 packs 104,000 million transistors, while the A4500 Mobile has 17,400 million. The die size is not recorded for the B200, but the A4500 Mobile has a die size of 392 mm² and a transistor density of 44.4M per mm². The B200's density is not listed, but the raw transistor budget is roughly six times larger, which underpins its massive compute advantage.

Compute resources differ enormously. The B200 has 18,944 shading units, 592 TMUs, and 24 ROPs. The A4500 Mobile has 5,888 shading units, 184 TMUs, and 96 ROPs. Notably, the B200 has fewer ROPs than the mobile part, but its pixel rate is lower as a result: 47.16 GPixel/s versus 144.0 GPixel/s. The texture rate tells the opposite story: the B200 reaches 1,163.3 GTexel/s, while the A4500 Mobile manages 276.0 GTexel/s.

Tensor core counts follow the same pattern. The B200 has 592 tensor cores, while the A4500 Mobile has 184. The B200 also has ray tracing cores not listed in the database, while the A4500 Mobile includes 46 RT cores. Floating-point throughput is starkly different: the B200 delivers 74.45 TFLOPS of FP32 and 1,191.2 TFLOPS of FP16 at a 16:1 ratio. The A4500 Mobile delivers 17.66 TFLOPS of FP32 and 17.66 TFLOPS of FP16 at a 1:1 ratio. The FP16 capability gap is particularly large, reflecting the B200's focus on tensor-heavy AI workloads.

Memory architecture is another fundamental split. The B200 uses HBM3e with 90 GB capacity, a 4096-bit bus, and 4.10 TB/s bandwidth. The A4500 Mobile uses GDDR6 with 16 GB capacity, a 256-bit bus, and 512.0 GB/s bandwidth. The B200 has over eight times the bandwidth, which is critical for large model inference and training. The A4500 Mobile's memory clock is listed at 2000 MHz with 16 Gbps effective, while the B200's memory clock is also 2000 MHz but with 8 Gbps effective; the effective rates reflect different memory technologies and data rates.

API support differs as well. The B200 has no API entries recorded in the database for DirectX, OpenGL, or Vulkan, consistent with a compute-focused accelerator with no display outputs. The A4500 Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, which aligns with its workstation and mobile graphics role.

Specification Differences

The following fields differ between the two parts in the database.

• Chip: GB100 versus GA104
• Architecture: Blackwell versus Ampere
• Generation: Server Blackwell (Bxx) versus Ampere-MW (Ax000)
• Process Node: 5 nm versus 8 nm
• Foundry: TSMC versus Samsung
• Transistors: 104,000 million versus 17,400 million
• Die Size: not recorded versus 392 mm²
• Transistor Density: not recorded versus 44.4M per mm²
• Base Clock: 700 MHz versus 930 MHz
• Boost Clock: 1965 MHz versus 1500 MHz
• Memory Effective Rate: 8 Gbps versus 16 Gbps
• Memory Size: 90 GB versus 16 GB
• Memory Type: HBM3e versus GDDR6
• Memory Bus Width: 4096 bit versus 256 bit
• Memory Bandwidth: 4.10 TB/s versus 512.0 GB/s
• Shading Units: 18,944 versus 5,888
• TMUs: 592 versus 184
• ROPs: 24 versus 96
• RT Cores: not recorded versus 46
• Tensor Cores: 592 versus 184
• Pixel Rate: 47.16 GPixel/s versus 144.0 GPixel/s
• Texture Rate: 1,163.3 GTexel/s versus 276.0 GTexel/s
• FP32: 74.45 TFLOPS versus 17.66 TFLOPS
• FP16: 1,191.2 TFLOPS (16:1) versus 17.66 TFLOPS (1:1)
• TDP: 1000 W versus 140 W
• Slot Width: SXM Module versus not recorded
• Power Connectors: not recorded versus None
• Suggested PSU: 1400 W versus not recorded
• Bus Interface: PCIe 5.0 x16 versus PCIe 4.0 x16
• Display Outputs: No outputs versus Portable Device Dependent
• APIs: none recorded versus DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4
• Production Status: Active versus End-of-life
• Release Date: not recorded versus 2022-03-21
• Predecessor: Server Hopper versus Quadro Turing-M
• Successor: Server Rubin versus Ada-MW
• Benchmark Scores: OpenCL 345,482 versus OpenCL 105,307 and Vulkan 76,960
• Average Benchmark Score: 345,482 versus 91,134
• Percentile: 100 versus 93

Fields that are the same include manufacturer (NVIDIA), memory clock base (2000 MHz), and the fact that neither has a recorded launch MSRP.

The Verdict

The data draws a clean line between two products built for different jobs. The NVIDIA B200 is a server accelerator designed for maximum compute throughput. Its OpenCL score of 345,482 places it at the 100th percentile, and its nearest rivals are other top-tier server parts like the B300 SXM6 AC, H200 NVL, and Instinct MI300X. The 228.1% lead over the RTX A4500 Mobile is not a marginal gap; it is a categorical separation. Anyone selecting a GPU for large-scale compute, AI training, or high-bandwidth memory workloads should look at the B200, not the mobile workstation part.

The RTX A4500 Mobile is a capable mobile workstation GPU, but it operates in a different performance class. Its average benchmark score of 91,134 and 93rd percentile placement put it among mid-to-high mobile and desktop workstation parts, with nearest rivals within about 5% either way. It supports a full graphics API stack, has display outputs that are portable device dependent, and draws 140 W, making it suitable for laptop integration. The B200 draws 1000 W, uses an SXM module, and has no display outputs, so it is not a replacement for a mobile GPU in any physical sense.

For users who need a mobile workstation GPU with graphics API support and moderate compute, the A4500 Mobile is the only option of the two that fits. For users who need maximum compute, the B200 is the clear choice, though the database shows it is not the absolute fastest server GPU, since the B300 SXM6 AC leads by 6.6%. The verdict from the recorded data is simple: the B200 wins the only head-to-head benchmark by a wide margin, and the product positioning confirms that these two should rarely be considered against each other in practice.