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AMD Radeon AI PRO R9700 32GB Specs, Benchmarks & Pricing

The AMD Radeon AI PRO R9700 is a professional AI workstation GPU released on July 23, 2025, built on AMD's RDNA 4 architecture using the Navi 48 GPU die manufactured on TSMC's 4nm process. Featuring 64 compute units with 4,096 stream processors and 128 second-generation AI Accelerators, the card is designed for local AI inference, model fine-tuning, and complex creative workloads. It includes 32GB of high-speed GDDR6 memory on a 256-bit interface running at 20 Gbps, delivering 640 GB/s of memory bandwidth. The GPU delivers 47.8 TFLOPS of FP32 performance and 96 TFLOPS of FP16 (Half-Precision) performance, with clock speeds ranging from 1,620 MHz base to 2,920 MHz boost (game clock of 2,350 MHz). The 2nd-generation AI Accelerators support FP8, FP16, and INT8 precisions with sparsity acceleration enabling up to 4× FP16 and 8× INT8 throughput for AI workloads, reaching up to 1,531 TOPS of INT4 sparse AI performance. The card features a compact dual-slot design with a blower-style cooling solution and a 300W TDP, using PCIe 5.0 connectivity for maximum bandwidth. AMD positions this as their flagship AI workstation GPU, fully compatible with the ROCm open software platform with support for PyTorch, ONNX Runtime, and TensorFlow frameworks. Display connectivity includes four DisplayPort 2.1 outputs. Available initially in SI-built workstation systems from Boxx and Velocity Micro, with standalone cards from ASRock, ASUS, Gigabyte, PowerColor, Sapphire, XFX, and Yeston available later in Q3 2025. Priced at $1,299 USD, it targets AI developers, data scientists, and creative professionals who need substantial local AI inference capability.

Release Date: July 23, 2025
MSRP: $1,299 USD
GPU Architecture: RDNA 4
Hardware-Accelerated GEMM Operations:
FP16 FP32 BF16 FP8 INT8 INT4 TF32 FP64 INT1
CUDA Compute Capability : n/a

Strengths

Excellent memory capacity (top 7% of GPUs)

Considerations

Lower INT8 inference performance compared to other GPUs

Specifications for AMD Radeon AI PRO R9700

Specification	Performance Ranking
FP32 TFLOPs	74th @ 47.8 TFLOPs (Mid Tier)(Mid)
FP16 TFLOPs	59th @ 96 TFLOPs (Mid Tier)(Mid)
Tensor Core Count	30th @ 128 Cores (Entry Tier)(Entry)
Memory Capacity (GB)	93rd @ 32 GB (Top Tier)(Top)
Memory Bandwidth (GB/s)	65th @ 640 GB/s (Mid Tier)(Mid)
Int8 TOPs	20th @ 192 TOPs

Real-time AMD Radeon AI PRO R9700 GPU Prices

We're tracking 5 of the AMD Radeon AI PRO R9700 GPUs currently available for sale. The lowest average price is $1,483 (what's this?)

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Price History

This chart tracks AMD Radeon AI PRO R9700 prices over the past 6 months based on eBay listings. The green line shows the median price across all listings each day, while the yellow line shows the average of the three lowest-priced listings—a useful indicator for finding deals.

Trend: Over this period, the lowest average price has been down 26.1%. The current lowest average is $1,483, compared to a typical $1,745 over the period. The lowest average price is calculated as the average of the three lowest-priced listings each day.

gpupoet.com

Product Identifiers

Manufacturer Part Numbers (1)

AMD OPN: 100-300000008

Available from 4 Partners (4 products)

XFX

XFX AMD Radeon AI Pro R9700 32GB GDDR6 4xDP: RX-9R700AMCDF(model number)

ASRock

ASRock AMD Radeon AI PRO R9700 32GB GDDR6: RADEON AI PRO R9700 32G(model number)

PowerColor

PowerColor Radeon AI PRO R9700 32GB: AXAIRPR9700 32GBDP(model number)

Sapphire

Sapphire Radeon AI PRO R9700 32GB: 32-700-20G-00(model number)

References

Notes

MSRP of $1,299 USD sourced from AMD official blog post and retail listings. Available July 23, 2025 in SI-built systems, with standalone cards from board partners available later in Q3 2025.
FP32 TFLOPS of 47.8 calculated as 4,096 stream processors × 2,920 MHz boost clock × 4 ops/cycle (dual-issue) ÷ 1,000,000 = 47.8 TFLOPS. RDNA 4 architecture features dual-issue FP32 capability, effectively doubling shader throughput compared to single-issue designs.
FP16 TFLOPS of 96 represents Peak Half-Precision performance as specified by AMD. RDNA 4 AI Accelerators provide 2:1 FP16 to FP32 performance ratio on AI-focused operations.
INT8 TOPS of 192 is estimated based on 2:1 INT8 to FP16 ratio typical for RDNA 4 architecture. AMD publishes up to 1,531 TOPS for INT4 sparse AI performance with sparsity acceleration enabled.
tensorCoreCount of 128 represents the 2nd-generation AI Accelerators (2 per compute unit × 64 compute units), which are AMD's dedicated matrix multiplication units for AI workloads.
Memory bandwidth calculated as 256-bit interface × 20 Gbps ÷ 8 bits/byte = 640 GB/s, confirmed by AMD specifications.
RDNA 4 architecture includes redesigned 3rd-generation Ray Tracing Accelerators and 2nd-generation AI Accelerators with support for sparsity acceleration.
Supported hardware operations include FP8, FP16, BF16, INT8, and INT4 on AI Accelerators, with FP32 operations on general shader units. Sparsity acceleration enables up to 4× FP16 and 8× INT8 throughput.
The GPU uses the Navi 48 GPU die manufactured on TSMC's 4nm process with 64 Compute Units.
Clock speeds specified by AMD as Base Clock 1,620 MHz, Game Clock 2,350 MHz, Boost Clock up to 2,920 MHz.
Board partners include ASRock, ASUS, Gigabyte, PowerColor, Sapphire, XFX, and Yeston. Part numbers sourced from XFX official product page and third-party retail listings.
The card features a compact dual-slot design with blower-style cooling, four DisplayPort 2.1 outputs, and PCIe 5.0 x16 interface.
AMD positioning emphasizes ROCm platform compatibility with PyTorch, ONNX Runtime, TensorFlow, and other AI/ML frameworks for local AI inference and model fine-tuning workloads.
System integrators offering workstations with R9700 include Boxx and Velocity Micro at launch.