ASUS System Product Name
Geekbench ML Score
25990
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2025 01:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
13707
2.56 KIPS |
|
|
Image Classification (F16)
|
100% |
14669
2.75 KIPS |
|
|
Image Classification (I8)
|
100% |
13734
2.57 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14344
239.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
19570
326.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
16421
274.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
186409
225.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
203914
246.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
199882
242.0 IPS |
|
|
Object Detection (F32)
|
100% |
6692
499.6 IPS |
|
|
Object Detection (F16)
|
100% |
7557
564.2 IPS |
|
|
Object Detection (I8)
|
56% |
6987
521.6 IPS |
|
|
Face Detection (F32)
|
100% |
37299
443.5 IPS |
|
|
Face Detection (F16)
|
100% |
43949
522.6 IPS |
|
|
Face Detection (I8)
|
89% |
36525
434.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
72977
565.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
74475
577.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
61997
480.8 IPS |
|
|
Style Transfer (F32)
|
100% |
315796
415.4 IPS |
|
|
Style Transfer (F16)
|
100% |
260149
342.2 IPS |
|
|
Style Transfer (I8)
|
98% |
294783
387.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42145
1.51 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42998
1.54 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18940
676.4 IPS |
|
|
Text Classification (F32)
|
100% |
3591
5.16 KIPS |
|
|
Text Classification (F16)
|
100% |
4142
5.95 KIPS |
|
|
Text Classification (I8)
|
98% |
2638
3.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
5539
101.9 IPS |
|
|
Machine Translation (F16)
|
100% |
6120
112.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3650
67.2 IPS |
