AMD Radeon RX 6650M XT vs NVIDIA RTX A4500 Mobile Comparison

NVIDIA’s RTX A4500 Mobile and AMD’s Radeon RX 6650M XT are both end-of-life mobile GPUs from 2022, but they target very different workloads. The data below is drawn strictly from the benchmark database, focusing on what the numbers reveal rather than marketing claims.

Head-to-Head Benchmarks

The only shared benchmark in the FACT PACK is Geekbench OpenCL, and the result is decisive. The NVIDIA RTX A4500 Mobile scores 105307, while the AMD Radeon RX 6650M XT scores 76904. That gives NVIDIA a 36.9% lead in this test. This is not a narrow margin; it is a substantial performance gap that places the two cards in different tiers of compute capability.

Looking at the average benchmark scores tells a similar story. The RTX A4500 Mobile averages 91134 across all tests, whereas the RX 6650M XT averages 76904. The difference is 14230 points, or roughly 18.5% higher for NVIDIA. When you place these scores against their nearest rivals, the context sharpens. The RTX A4500 Mobile sits only 0.6% below the desktop RTX A4500 (avg 91671) and 1.4% below the AMD Radeon Instinct MI60 (avg 92466). Meanwhile, the RX 6650M XT is 1% below the GeForce RTX 5090 D (avg 77712) and 2.6% below the RX 6850M XT (avg 78940). So the A4500 Mobile is competing with workstation-class hardware, while the 6650M XT is closer to mainstream gaming silicon.

The Geekbench Vulkan score for the A4500 Mobile is 76960, which is not directly comparable to the 6650M XT (no Vulkan result is listed for AMD), but it reinforces NVIDIA’s compute strength. The OpenCL delta of 36.9% is the single most important number in this comparison. It tells you that in raw general-purpose compute, NVIDIA wins by a wide margin. There is no benchmark where the AMD card wins, as the wins counter shows 1 win for NVIDIA and 0 for AMD.

Architecture Differences

The architectural split is stark. The RTX A4500 Mobile uses NVIDIA’s Ampere architecture on a GA104 chip, built on Samsung’s 8 nm process. It packs 17,400 million transistors onto a 392 mm² die, giving a transistor density of 44.4M per mm². The RX 6650M XT uses AMD’s RDNA 2.0 architecture on the Navi 23 chip, fabricated by TSMC on a 7 nm node. That chip has 11,060 million transistors on a 237 mm² die, with a higher density of 46.7M per mm². So AMD uses a smaller, denser chip, but NVIDIA compensates with far more silicon area.

The compute resources diverge sharply. The A4500 Mobile has 5888 shading units, 184 texture mapping units, and 96 ROPs. It also carries 46 ray tracing cores and 184 tensor cores. The 6650M XT has 2048 shading units, 128 TMUs, and 64 ROPs, with 32 ray tracing cores and no tensor cores. That is a 2.9x advantage in shading units for NVIDIA, which explains much of the OpenCL gap.

Clock speeds tell a different story. AMD runs much higher clocks: 2068 MHz base, 2416 MHz boost, and 2162 MHz game clock. NVIDIA’s A4500 Mobile is conservative at 930 MHz base and 1500 MHz boost. Despite the lower clocks, NVIDIA’s FP32 throughput is 17.66 TFLOPS versus AMD’s 9.896 TFLOPS. In FP16, NVIDIA matches its FP32 at 17.66 TFLOPS (1:1), while AMD doubles its rate to 19.79 TFLOPS (2:1). So AMD has a theoretical FP16 advantage, but FP32 and general compute favor NVIDIA heavily.

Memory architecture differs as well. The A4500 Mobile has 16 GB of GDDR6 on a 256-bit bus, yielding 512.0 GB/s of bandwidth. The 6650M XT has 8 GB of GDDR6 on a 128-bit bus, giving 256.0 GB/s. Both run the memory at 2000 MHz with 16 Gbps effective, but the wider bus doubles NVIDIA’s bandwidth. Pixel rate is similar — 144.0 GPixel/s for NVIDIA versus 154.6 GPixel/s for AMD — but texture rate favors AMD at 309.2 GTexel/s versus 276.0 GTexel/s for NVIDIA.

Where Each One Wins

Based strictly on the data, NVIDIA wins the only head-to-head benchmark. But the architecture suggests a use-case split. The A4500 Mobile’s 16 GB VRAM and 512 GB/s bandwidth make it suited for large datasets, AI inference, and rendering workloads where memory capacity matters. Its tensor cores (184 of them) are absent on the AMD card, which means NVIDIA has dedicated hardware for machine learning tasks that AMD lacks entirely.

The RX 6650M XT, despite losing OpenCL, has strengths in raw throughput per clock. Its higher pixel rate (154.6 GPixel/s) and texture rate (309.2 GTexel/s) suggest it can fill frames quickly in rasterization-heavy scenarios. The higher boost clock of 2416 MHz also helps in latency-sensitive tasks. However, the 8 GB memory cap and 256 GB/s bandwidth will bottleneck large textures or multi-tasking workloads.

In pure compute terms, the A4500 Mobile is 36.9% ahead in OpenCL. That translates to faster physics simulations, video encoding, and any GPGPU application. The 6650M XT’s FP16 advantage (19.79 TFLOPS vs 17.66 TFLOPS) gives it a niche in AI inference if software uses half-precision, but that is a narrow window against NVIDIA’s tensor core hardware.

Specification Differences

Here are the fields where the two GPUs differ, from the FACT PACK:

• Chip: NVIDIA GA104 vs AMD Navi 23
• Architecture: Ampere vs RDNA 2.0
• Process Node: 8 nm (Samsung) vs 7 nm (TSMC)
• Transistors: 17,400 million vs 11,060 million
• Die Size: 392 mm² vs 237 mm²
• Transistor Density: 44.4M / mm² vs 46.7M / mm²
• Base Clock: 930 MHz vs 2068 MHz
• Boost Clock: 1500 MHz vs 2416 MHz
• Game Clock: None vs 2162 MHz
• Memory Size: 16 GB vs 8 GB
• Memory Bus Width: 256 bit vs 128 bit
• Memory Bandwidth: 512.0 GB/s vs 256.0 GB/s
• Shading Units: 5888 vs 2048
• TMUs: 184 vs 128
• ROPs: 96 vs 64
• RT Cores: 46 vs 32
• Tensor Cores: 184 vs None
• Pixel Rate: 144.0 GPixel/s vs 154.6 GPixel/s
• Texture Rate: 276.0 GTexel/s vs 309.2 GTexel/s
• FP32: 17.66 TFLOPS vs 9.896 TFLOPS
• FP16: 17.66 TFLOPS (1:1) vs 19.79 TFLOPS (2:1)
• TDP: 140 W vs 120 W
• Bus Interface: PCIe 4.0 x16 vs PCIe 4.0 x8
• Release Date: 2022-03-21 vs 2022-01-03
• Predecessor: Quadro Turing-M vs Polaris Mobile
• Successor: Ada-MW vs None
• Geekbench OpenCL: 105307 vs 76904
• Geekbench Vulkan: 76960 vs None
• Percentile vs All GPUs: 93 vs 91
• Avg Benchmark Score: 91134 vs 76904

The two share several specs: both use GDDR6 memory at 2000 MHz (16 Gbps effective), both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, both have no power connectors and are portable-device dependent for display outputs. Neither has a launch MSRP listed.

FAQ

Q: Which GPU is faster in OpenCL?

A: The NVIDIA RTX A4500 Mobile scores 105307 versus 76904 for the AMD RX 6650M XT, a 36.9% lead for NVIDIA.

Q: Does the AMD card have any benchmark win?

A: No. The head-to-head data shows 1 win for NVIDIA and 0 wins for AMD. The only shared test is Geekbench OpenCL, which NVIDIA wins.

Q: How do these compare to their nearest rivals?

A: The A4500 Mobile is 0.6% behind the desktop RTX A4500 (avg 91671) and 4.2% ahead of the Quadro GP100 (avg 87445). The 6650M XT is 1% behind the RTX 5090 D (avg 77712) and 3.4% behind the Tesla P100 16 GB (avg 79605).

Q: What is the memory difference?

A: The A4500 Mobile has 16 GB on a 256-bit bus with 512.0 GB/s bandwidth. The 6650M XT has 8 GB on a 128-bit bus with 256.0 GB/s bandwidth. Both use GDDR6 at 2000 MHz.

Q: Which card has tensor cores?

A: Only the NVIDIA RTX A4500 Mobile has 184 tensor cores. The AMD RX 6650M XT has none, which affects AI and deep learning workloads.

Q: What are the TDP ratings?

A: The A4500 Mobile is rated at 140 W, while the 6650M XT is rated at 120 W. Both are mobile parts without dedicated power connectors.

The Verdict

The data is unambiguous. The NVIDIA RTX A4500 Mobile dominates the AMD Radeon RX 6650M XT in compute performance, with a 36.9% OpenCL lead and an 18.5% higher average benchmark score. The A4500 Mobile’s 16 GB VRAM, 512 GB/s bandwidth, and 184 tensor cores make it the choice for professional workloads like 3D rendering, data science, and machine learning. Its 93rd percentile ranking versus 91st for AMD reinforces its higher standing in the GPU hierarchy.

The RX 6650M XT is not without merit. Its higher clocks (2416 MHz boost), faster texture rate (309.2 GTexel/s), and lower TDP (120 W) suggest it could be more efficient in light gaming or media tasks. But the 8 GB memory limit and lack of tensor cores cap its utility. The FP16 throughput of 19.79 TFLOPS is higher than NVIDIA’s 17.66 TFLOPS, but that only matters in specific half-precision workloads, and the absence of dedicated AI hardware narrows that advantage further.

If your priority is raw compute, memory capacity, or AI acceleration, pick the RTX A4500 Mobile. If you need a lower-power part with higher clocks and faster pixel fill, the RX 6650M XT has niche appeal — but the benchmark evidence shows it loses the only direct comparison. For most professionals, the A4500 Mobile is the better investment based on the data.