ASRock Radeon AI PRO R9700S Passive 32GB
Benchmark and Specs


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Benchmark and Specs

Here you will find all technical data as well as various benchmarks of the ASRock Radeon AI PRO R9700S Passive 32GB . Up to 4 screens with a maximum resolution of up to 7680x4320 can be operated with this graphics card. The maximum turbo clock of the ASRock Radeon AI PRO R9700S Passive 32GB is 2.920 GHz, so the graphics card achieves an FP32 computing power of 47.84 TFLOPS.

GPU

The ASRock Radeon AI PRO R9700S Passive 32GB is equipped with 64 execution and 4096 shader units. With single precision, a theoretical FP32 computing power of 47.84 TFLOPS is achieved.

Based on: AMD Radeon AI PRO R9700S
GPU Chip: Navi 48 XTW (RDNA 4)
Streaming Multiprocessors: 64
Shader: 4096
Render Output Units: 128
Texture Units: 256
Raytracing Cores: 64

Memory

The ASRock Radeon AI PRO R9700S Passive 32GB has a 256 bit wide memory interface, with which a memory bandwidth of 645 GB/s is achieved. In total, 32 GB GDDR6 graphics memory is available for the graphics card.

Memory Size: 32 GB
Memory Type: GDDR6
Memory Clock: 2.518 GHz
Memory Speed: 20.1 Gbps
Memory bandwidth: 645 GB/s
Memory Interface: 256 bit

Clock Speeds

The manufacturer specifies the memory clock of the ASRock Radeon AI PRO R9700S Passive 32GB with 1.660 GHz (base clock) or with 2.920 GHz (turbo clock). If overclocking is supported (see below), the clock rate can be increased even further.

Base Clock: 1.660 GHz
Boost Clock: 2.920 GHz
Avg (Game) Clock: 2.350 GHz
Overclocking: Yes

Thermal Design

The ASRock Radeon AI PRO R9700S Passive 32GB has 2 x 6-Pin plugs, which supply the graphics card with energy. The maximum operating temperature of the card is Unknown.

TDP: 300 W
TDP (up): --
Tjunction max: Unknown
PCIe-Power: 2 x 6-Pin

Cooler & Fans

The ASRock Radeon AI PRO R9700S Passive 32GB is equipped with 0 -- main fans, which are used to cool the graphics processor and graphics memory.

Fan-Type: --
Fan 1: --
Fan 2: --
Cooler-Type: Passive cooling
Noise (Idle): --
Noise (Load): --

Connectivity

Up to 4 screens can be connected to the ASRock Radeon AI PRO R9700S Passive 32GB , whereby the backward-compatible HDCP copy protection is supported in the 2.3 version.

Max. Displays: 4
HDCP-Version: 2.3
HDMI Ports: --
DP Ports: 4x DP v2.1a
DVI Ports: --
VGA Ports: --
USB-C Ports: --

Featureset

The ASRock Radeon AI PRO R9700S Passive 32GB supports a maximum resolution of 7680x4320 pixels and the DirectX standard version 12_2 (Ultimate).

Max. resolution: 7680x4320
DirectX: 12_2 (Ultimate)
Raytracing: Yes
DLSS / FSR: Yes
LED: No LED lighting

Supported Video Codecs

Here is a list of which video codecs can be decoded / encoded by the ASRock Radeon AI PRO R9700S Passive 32GB in hardware in order to minimize the processor load.

h264: Decode / Encode
h265 / HEVC: Decode / Encode
VP8: Decode / Encode
VP9: Decode / Encode
AV1: Decode / Encode

Dimensions

The dimensions of the ASRock Radeon AI PRO R9700S Passive 32GB are 190 mm in length, 112 mm in height and 38 mm in width. Thus 2 PCIe-Slots are needed in a case.

Length: 190 mm
Height: 112 mm
Width: 38 mm
Width (Slots): 2 PCIe-Slots
Weight: 890 g
SFF-Ready: No

Additional data

The ASRock Radeon AI PRO R9700S Passive 32GB is manufactured in a structure width of 4 nm and has a PCIe 5 x 16 lanes interface. The graphics card was released in Q4/2025.

GPU Interface: PCIe 5 x 16
Release date: Q4/2025
Launch Price: 1,299 $ (Reference)
Structure size: 4 nm
Part-no: R9700S PS 32G
Documents: data sheet

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Benchmark results

FP32 Performance (Single-precision TFLOPS)

The theoretical computing power of the graphics card with single precision (32 bit) in TFLOPS indicates how many trillion FP32 floating point operations the graphics card (GPU) can perform per second.

FP32 (TFLOPS)

More benchmarks

In order to determine the performance of a graphics card, so-called "benchmarks" are carried out. The benchmark software carries out special calculations to determine the performance of a graphics card. We use so-called theoretical or synthetic benchmarks (e.g. 3D Mark) as well as real game benchmarks. To ensure real comparability of the results, we pay attention to the correct execution of the benchmarks as well as the condition of the graphics card and the system.

We use the following benchmarks to measure the performance of a graphics card:

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