AMD Radeon 8050S vs NVIDIA RTX A1000 Mobile Comparison
AMD Radeon 8050S
RTX A1000 Mobile
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon 8050S vs NVIDIA RTX A1000 Mobile
FAQ
Q: How does the AMD Radeon 8050S compare to the NVIDIA RTX A1000 Mobile in average benchmark score?
A: The Radeon 8050S posts an average benchmark score of 62,108, while the RTX A1000 Mobile scores 47,743. That places the AMD part 30.1% higher in the database’s aggregate metric.
Q: Which GPU wins in OpenCL and by how much?
A: The AMD Radeon 8050S wins the Geekbench OpenCL test with 65,818 points versus 48,703 for the RTX A1000 Mobile, a 35.1% advantage.
Q: Is the Vulkan result closer or further apart than OpenCL?
A: Vulkan is closer. The Radeon 8050S scores 58,398, and the RTX A1000 Mobile scores 46,782, giving AMD a 24.8% lead. Both tests favor AMD, but the margin narrows in Vulkan.
Q: How do the two GPUs rank against all other GPUs in the database?
A: The Radeon 8050S sits at the 89th percentile, while the RTX A1000 Mobile ranks at the 85th percentile. Both are strong mobile parts, but AMD holds a higher overall standing.
Q: What is the closest rival to the Radeon 8050S in the database?
A: The AMD Radeon Pro W6600M is the nearest rival, with an average score of 61,896, just 0.3% behind the 8050S. The Radeon Pro Vega 56 and RX 7600M trail by 2.5% and 2.6%, respectively.
Q: What is the closest rival to the RTX A1000 Mobile in the database?
A: The AMD Radeon RX 6800 XT is the nearest, with an average score of 48,477, which is 1.5% higher than the A1000 Mobile. The RX 6550M trails by 2.2%, and the Intel Arc A530M by 2.4%.
Where Each One Wins
The AMD Radeon 8050S wins decisively in every recorded benchmark. It takes the Geekbench OpenCL test with 65,818 points, beating the RTX A1000 Mobile’s 48,703 by 35.1%. In Vulkan, the lead is 24.8%, with 58,398 versus 46,782. The data shows a clear sweep: two wins for AMD, zero for NVIDIA.
For compute-heavy workloads that scale with raw shading throughput, the 8050S is the obvious choice. Its FP32 rate of 11.47 TFLOPS more than doubles the A1000 Mobile’s 4.669 TFLOPS. That translates directly into faster OpenCL and Vulkan execution in tasks like rendering, physics simulation, and general GPU compute.
The RTX A1000 Mobile does not win any benchmark in this comparison. However, its 85th percentile ranking shows it remains competitive in the broader mobile GPU field. Its nearest rivals, the RX 6800 XT and RX 6550M, sit within 2.5% of its average score, meaning the A1000 Mobile is a solid mid-pack option for professional mobile workstations, but it is outclassed by the newer AMD part.
Use-case split: choose the Radeon 8050S for maximum compute performance in both OpenCL and Vulkan, especially where memory bandwidth is not a bottleneck. The RTX A1000 Mobile, despite losing here, still offers a viable path for legacy Ampere-based workflows, but the recorded data does not show any workload where it surpasses the 8050S.
Architecture Differences
The Radeon 8050S is built on the RDNA 3.5 architecture using TSMC’s 4 nm process, with the Strix Halo chip. The RTX A1000 Mobile uses NVIDIA’s Ampere architecture on Samsung’s 8 nm node, with the GA107 chip. The process difference is significant: 4 nm versus 8 nm allows AMD to pack more transistors into a smaller area, though the database records the 8050S transistor count as unknown.
AMD’s die measures 308 mm², while NVIDIA’s is 200 mm². That means the 8050S has a larger physical die despite the smaller process node, reflecting the integration of 2,048 shading units, 128 texture mapping units, and 64 ROPs. The A1000 Mobile also has 2,048 shading units, but only 64 TMUs and 32 ROPs, half of AMD’s counts.
Ray tracing hardware differs: the 8050S has 32 RT cores, while the A1000 Mobile has 16. Tensor cores are present only on the NVIDIA side, with 64 units, but the Radeon has no tensor core equivalent listed. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
Memory architecture is fundamentally different. The Radeon 8050S uses system shared memory, with bandwidth described as system dependent. The RTX A1000 Mobile has dedicated 4 GB GDDR6 memory on a 128-bit bus, delivering 176.0 GB/s. This is a key trade-off: dedicated VRAM ensures predictable bandwidth, while shared memory can scale with system RAM but varies by platform.
The 8050S has a base clock of 1295 MHz and a boost of 2800 MHz, while the A1000 Mobile runs at 630 MHz base and 1140 MHz boost. The AMD part’s clock advantage is massive, and it contributes to the large FP32 gap. Pixel rate for the 8050S is 179.2 GPixel/s versus 36.48 GPixel/s for NVIDIA, and texture rates are 358.4 GTexel/s versus 72.96 GTexel/s.
Specification Differences
The two GPUs differ in almost every measurable specification. Process node: AMD uses 4 nm, NVIDIA uses 8 nm. Die size: 308 mm² versus 200 mm². Transistor count for AMD is unknown, while NVIDIA lists 8,700 million, giving a density of 43.5M per mm².
Clocks: the Radeon 8050S has a base clock of 1295 MHz and boost of 2800 MHz. The RTX A1000 Mobile has a base of 630 MHz and boost of 1140 MHz. Memory clock for NVIDIA is 1375 MHz, with 11 Gbps effective, while AMD’s memory clock is listed as system shared.
Memory configuration: AMD uses system shared memory with system-dependent bandwidth. NVIDIA uses 4 GB GDDR6 on a 128-bit bus with 176.0 GB/s bandwidth. This is a hard specification split: one relies on the host system, the other has dedicated VRAM.
Compute units: the 8050S has 2,048 shading units, 128 TMUs, 64 ROPs, and 32 RT cores. The A1000 Mobile has 2,048 shading units, 64 TMUs, 32 ROPs, and 16 RT cores. NVIDIA adds 64 tensor cores; AMD lists none.
Pixel and texture rates: AMD posts 179.2 GPixel/s and 358.4 GTexel/s. NVIDIA posts 36.48 GPixel/s and 72.96 GTexel/s. FP32 performance: 11.47 TFLOPS for AMD, 4.669 TFLOPS for NVIDIA. FP16 is identical to FP32 for both, at 1:1 ratios.
TDP: the 8050S is rated at 55 W, while the A1000 Mobile is rated at 60 W. Both are IGP designs with no power connectors and portable-device-dependent display outputs. Bus interface: AMD uses PCIe 5.0 x16, NVIDIA uses PCIe 4.0 x8.
Production status: the Radeon 8050S is active, released on 2025-01-05. The RTX A1000 Mobile is end-of-life, released on 2022-03-29, with the successor listed as Ada-MW. Predecessors also differ: Polaris Mobile for AMD, Quadro Turing-M for NVIDIA.
Head-to-Head Benchmarks
The Geekbench OpenCL test is the biggest win for the AMD Radeon 8050S. It scores 65,818 against 48,703 for the RTX A1000 Mobile, a 35.1% advantage. This aligns with the FP32 throughput gap: the AMD part delivers 11.47 TFLOPS, more than double NVIDIA’s 4.669 TFLOPS. OpenCL workloads that are shader-bound will see near-linear scaling with this compute difference.
The Vulkan test is closer but still favors AMD. The Radeon 8050S scores 58,398, and the RTX A1000 Mobile scores 46,782, a 24.8% lead. The smaller margin in Vulkan suggests that API overhead or driver scheduling narrows the raw compute gap, but AMD still holds a solid edge. The A1000 Mobile’s 64 tensor cores do not appear to help in these specific tests, as neither benchmark is tensor-focused.
Looking at the nearest rivals provides context for each GPU’s position. The Radeon 8050S is 0.3% ahead of the Radeon Pro W6600M, which scores 61,896. It is 2.5% behind the Radeon Pro Vega 56 (63,693) and 2.6% behind the RX 7600M (63,775). This places the 8050S in a tight cluster of high-end AMD mobile GPUs, all within roughly 2.7% of each other.
The RTX A1000 Mobile sits 1.5% behind the RX 6800 XT (48,477) and 2.2% ahead of the RX 6550M (46,702). It is 2.4% ahead of the Intel Arc A530M (46,614) and 2.5% ahead of the RX 5600M (46,601). This shows the A1000 Mobile is competitive with mid-range GPUs from 2022-2023, but it trails the newer AMD part by a wide margin.
The recorded data shows no scenario where the RTX A1000 Mobile wins. The 8050S dominates in both API tests, with the largest margin in OpenCL. For users prioritizing compute performance, the AMD part is the clear choice. The NVIDIA GPU’s dedicated 4 GB GDDR6 memory and 176.0 GB/s bandwidth may help in memory-bound scenarios, but the benchmark results do not reflect any such advantage in the measured tests.