AMD Radeon AI PRO R9700S vs NVIDIA RTX A1000 Comparison

Head-to-Head Benchmarks

The database does not contain any head-to-head benchmark entries for this specific pairing. The AMD Radeon AI PRO R9700S has no recorded benchmark scores and no nearest rivals listed, while the NVIDIA RTX A1000 has three recorded benchmark results. This absence of direct comparative data means the analysis must rely on the architectural specifications and the RTX A1000's measured performance against its own nearest rivals.

The RTX A1000 delivers a 3DMark Steel Nomad DX12 score of 969, a Geekbench OpenCL score of 52,078, and a Geekbench Vulkan score of 49,574. Its average benchmark score across these tests is 34,207. The RTX A1000 holds a 79th percentile ranking among all GPUs in the database. Its nearest rivals show extremely tight clustering: the NVIDIA RTX A2000 12 GB scores 34,154, a delta of 0.2% relative to the RTX A1000. The AMD Radeon RX 560 XT scores 34,133, also a 0.2% delta. The NVIDIA TITAN V scores 34,355, which is 0.4% higher than the RTX A1000, and the AMD Radeon RX 480 scores 33,997, a 0.6% lower delta. The RTX A1000 sits essentially at parity with these four rivals, with all deltas within a single percentage point.

The AMD Radeon AI PRO R9700S, by contrast, shows no measured benchmark data in the database. Its percentile ranking is 50, and its average benchmark score is 0. This does not necessarily indicate poor performance; rather, it reflects a lack of recorded test results. The specifications, however, suggest a dramatically different performance class. The R9700S ships with 4,096 shading units, 256 texture mapping units, and 128 render output units. Its FP32 compute rate is listed at 47.84 TFLOPS, and its FP16 rate matches at 47.84 TFLOPS (1:1). The RTX A1000, in comparison, has 2,304 shading units, 72 TMUs, and 32 ROPs, with an FP32 rate of 6.737 TFLOPS and an FP16 rate of 6.737 TFLOPS (1:1). The raw arithmetic throughput of the AMD part is roughly seven times higher on paper, though no direct benchmark confirms this in the recorded data.

The RTX A1000's measured scores place it in a specific performance tier. Its Geekbench OpenCL result of 52,078 and Vulkan result of 49,574 are consistent with a workstation card designed for professional visualization tasks. The Steel Nomad DX12 score of 969 is a modern DirectX 12 workload, and the card handles it adequately within its class. The R9700S has no comparable numbers, so any quantitative comparison between the two in actual workloads remains speculative based on the database content.

The Verdict

The data supports a clear division of roles. The NVIDIA RTX A1000 is a validated, measured product with a 79th percentile ranking and an average benchmark score of 34,207. It competes directly with the RTX A2000 12 GB, RX 560 XT, TITAN V, and RX 480, all within a 0.6% delta band. This indicates a mature, well-characterized GPU for its segment. The AMD Radeon AI PRO R9700S has no benchmark scores, no nearest rivals, and a 50th percentile placeholder. The specifications describe a much larger and more powerful part, but the database offers no empirical evidence of its performance.

Buyers who need verified performance data should select the RTX A1000, as its scores are recorded and its competitive position is clear. The R9700S, with its 32 GB memory, 256-bit bus, and 644.6 GB/s bandwidth, targets a different workload profile, but the lack of measurements means its real-world standing cannot be confirmed from this database. The RTX A1000 also offers a lower power envelope at 50 W TDP with no power connectors required, while the R9700S demands a 300 W TDP, a 16-pin connector, and a 700 W suggested PSU. For systems with strict power or space limits, the single-slot RTX A1000 at 163 mm length fits where the dual-slot R9700S at 267 mm may not.

Architecture Differences

The two GPUs come from different architectural generations and foundries. The AMD Radeon AI PRO R9700S uses the Navi 48 chip built on RDNA 4.0 architecture, fabricated on a 4 nm process at TSMC. The RTX A1000 uses the GA107 chip built on Ampere architecture, fabricated on an 8 nm process at Samsung. The process node difference is substantial: 4 nm versus 8 nm, which affects transistor density and power efficiency. The R9700S packs 53,900 million transistors on a 357 mm² die, yielding a density of 151.0 million transistors per square millimeter. The RTX A1000 has 8,700 million transistors on a 200 mm² die, with a density of 43.5 million per square millimeter. The AMD part integrates over six times the transistor count on roughly 1.8 times the die area.

Ray tracing hardware differs in scale. The R9700S contains 64 ray tracing cores, while the RTX A1000 has 18. The RTX A1000 includes 72 tensor cores, a feature absent from the R9700S specification, which lists no tensor core count. This indicates the NVIDIA card is designed to accelerate AI and machine learning workloads through dedicated tensor hardware, while the AMD card relies on its general-purpose compute units for such tasks. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical.

Memory technology and capacity differ sharply. The R9700S uses 32 GB of GDDR6 on a 256-bit bus, with a bandwidth of 644.6 GB/s. The RTX A1000 uses 8 GB of GDDR6 on a 128-bit bus, with a bandwidth of 192.0 GB/s. The AMD card provides four times the memory capacity and more than three times the bandwidth. The R9700S memory clock runs at 2518 MHz (20.1 Gbps effective), while the RTX A1000 memory clock runs at 1500 MHz (12 Gbps effective). The R9700S also supports PCIe 5.0 x16, whereas the RTX A1000 uses PCIe 4.0 x8, halving the available lanes on an older generation interface.

Specification Differences

The two cards differ across nearly every measurable specification. Clock speeds: the R9700S has a base clock of 1660 MHz, a boost clock of 2920 MHz, and a game clock of 2350 MHz. The RTX A1000 has a base clock of 727 MHz and a boost clock of 1462 MHz, with no game clock listed. The AMD part runs at more than double the boost frequency. Pixel rate: R9700S at 373.8 GPixel/s versus RTX A1000 at 46.78 GPixel/s. Texture rate: R9700S at 747.5 GTexel/s versus RTX A1000 at 105.3 GTexel/s. These rates scale with the core counts and clock speeds.

Power and physical specifications diverge. The R9700S draws 300 W TDP and requires a 1x 16-pin power connector, with a suggested PSU of 700 W. The RTX A1000 draws 50 W TDP and requires no power connectors, with a suggested PSU of 250 W. The R9700S is dual-slot, measuring 267 mm in length, 109 mm in height, and 39 mm in width. The RTX A1000 is single-slot, measuring 163 mm in length and 69 mm in height, with no width listed. Display outputs: the R9700S provides 4x DisplayPort 2.1a, while the RTX A1000 provides 4x mini-DisplayPort 1.4a. The newer DisplayPort 2.1a standard on the AMD card supports higher resolutions and refresh rates than the older 1.4a standard on the NVIDIA card, though no specific resolution numbers are recorded.

Release timing and product lineage differ. The R9700S was released on 2025-12-10, with its predecessor listed as Radeon Pro Vega. The RTX A1000 was released on 2024-04-15, with its predecessor as Quadro Turing and its successor as Workstation Ada. The RTX A1000 remains in active production, as does the R9700S. Neither card has a launch MSRP in the database, so no price information is available.

FAQ

Q: Which GPU has a higher FP32 compute throughput?

A: The AMD Radeon AI PRO R9700S lists an FP32 rate of 47.84 TFLOPS, while the NVIDIA RTX A1000 lists an FP32 rate of 6.737 TFLOPS. The R9700S specification is roughly seven times higher, though no direct benchmark confirms this.

Q: Does the RTX A1000 have tensor cores?

A: Yes, the RTX A1000 includes 72 tensor cores. The R9700S specification does not list any tensor core count, indicating it lacks dedicated tensor hardware.

Q: What is the memory capacity difference?

A: The R9700S has 32 GB of GDDR6, while the RTX A1000 has 8 GB of GDDR6. The R9700S also has a 256-bit memory bus versus the RTX A1000's 128-bit bus, and bandwidth of 644.6 GB/s versus 192.0 GB/s.

Q: How does the RTX A1000 compare to its nearest rivals?

A: The RTX A1000's average benchmark score is 34,207. The RTX A2000 12 GB scores 34,154 (0.2% delta), the RX 560 XT scores 34,133 (0.2% delta), the TITAN V scores 34,355 (-0.4% delta), and the RX 480 scores 33,997 (0.6% delta). All rivals are within 0.6% of the RTX A1000.

Q: What power connector does each card need?

A: The R9700S requires a 1x 16-pin power connector and has a 300 W TDP with a 700 W suggested PSU. The RTX A1000 requires no power connectors, has a 50 W TDP, and a 250 W suggested PSU.

Q: Which card supports PCIe 5.0?

A: The R9700S uses a PCIe 5.0 x16 interface. The RTX A1000 uses a PCIe 4.0 x8 interface.

Where Each One Wins

The AMD Radeon AI PRO R9700S wins on raw compute specifications. Its FP32 and FP16 rates of 47.84 TFLOPS dwarf the RTX A1000's 6.737 TFLOPS. Its 32 GB memory capacity and 644.6 GB/s bandwidth suit large datasets, high-resolution textures, or multi-model AI workloads. Its 256 TMUs and 128 ROPs deliver pixel and texture rates of 373.8 GPixel/s and 747.5 GTexel/s, respectively, which are an order of magnitude above the RTX A1000's 46.78 GPixel/s and 105.3 GTexel/s. The 4 nm TSMC process and 53,900 million transistors indicate a modern, high-density design. The R9700S also offers DisplayPort 2.1a outputs, PCIe 5.0 x16 connectivity, and 64 ray tracing cores. These specifications position it for heavy compute, large-frame rendering, or memory-intensive simulation, assuming the unrecorded benchmarks would validate the paper advantage.

The NVIDIA RTX A1000 wins on verified performance data and efficiency. Its average benchmark score of 34,207 is recorded, and its 79th percentile ranking confirms it outperforms the majority of GPUs in the database. Its nearest rivals all sit within a 0.6% delta, showing consistent, competitive performance in its class. The 50 W TDP with no power connectors and a 250 W suggested PSU makes it suitable for compact, low-power workstations. Its single-slot design at 163 mm length fits in space-constrained chassis. The 72 tensor cores provide dedicated AI acceleration, which the R9700S lacks. The 8 GB memory, while smaller, is paired with a 192.0 GB/s bandwidth that suffices for typical professional visualization tasks. The RTX A1000 also has a longer recorded production history, with a release date of 2024-04-15 and an established predecessor and successor lineage.

The data suggests two distinct use cases. The R9700S targets workloads where memory capacity, bandwidth, and raw throughput dominate, such as large-scale rendering, scientific computing, or multi-GPU AI training where tensor cores are not the primary requirement. The RTX A1000 targets validated, low-power professional graphics, AI inference through tensor cores, and systems where physical size and thermal output are limiting factors. Without head-to-head benchmarks, the database cannot confirm whether the R9700S's specification advantage translates into real-world wins, but the architectural gap is substantial.