ASUS System Product Name
Geekbench ML Score
21126
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 04:49 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| 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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11556
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11274
2.11 KIPS |
|
|
Image Classification (I8)
|
100% |
9672
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14002
233.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
13764
229.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12744
212.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
235436
285.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
222634
269.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
206396
249.9 IPS |
|
|
Object Detection (F32)
|
100% |
5630
420.3 IPS |
|
|
Object Detection (F16)
|
100% |
5692
424.9 IPS |
|
|
Object Detection (I8)
|
56% |
4493
335.5 IPS |
|
|
Face Detection (F32)
|
100% |
38409
456.7 IPS |
|
|
Face Detection (F16)
|
100% |
39956
475.1 IPS |
|
|
Face Detection (I8)
|
88% |
32690
388.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
64451
499.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
62759
486.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
50977
395.3 IPS |
|
|
Style Transfer (F32)
|
100% |
229543
301.9 IPS |
|
|
Style Transfer (F16)
|
100% |
236450
311.0 IPS |
|
|
Style Transfer (I8)
|
98% |
211502
278.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23760
848.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25023
893.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17924
640.1 IPS |
|
|
Text Classification (F32)
|
100% |
3507
5.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3500
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1940
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4090
75.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4112
75.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2274
41.9 IPS |
