ASUS System Product Name
Geekbench ML Score
18907
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2025 05:31 AM |
| Views | 5 |
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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9842
1.84 KIPS |
|
|
Image Classification (F16)
|
100% |
11466
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9352
1.75 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8328
139.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
14638
244.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12365
206.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
117945
142.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
123835
150.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
107490
130.2 IPS |
|
|
Object Detection (F32)
|
100% |
5307
396.2 IPS |
|
|
Object Detection (F16)
|
100% |
5824
434.8 IPS |
|
|
Object Detection (I8)
|
62% |
5221
389.8 IPS |
|
|
Face Detection (F32)
|
100% |
25351
301.4 IPS |
|
|
Face Detection (F16)
|
100% |
26646
316.8 IPS |
|
|
Face Detection (I8)
|
89% |
20652
245.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
50630
392.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
54241
420.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
42705
331.2 IPS |
|
|
Style Transfer (F32)
|
100% |
196837
258.9 IPS |
|
|
Style Transfer (F16)
|
100% |
198354
260.9 IPS |
|
|
Style Transfer (I8)
|
98% |
171040
225.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29221
1.04 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31796
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22107
789.5 IPS |
|
|
Text Classification (F32)
|
100% |
3281
4.71 KIPS |
|
|
Text Classification (F16)
|
100% |
3898
5.60 KIPS |
|
|
Text Classification (I8)
|
98% |
2352
3.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
4648
85.5 IPS |
|
|
Machine Translation (F16)
|
100% |
5374
98.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2930
53.9 IPS |
