ASUS System Product Name
Geekbench ML Score
21313
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 19 2025 04:58 AM |
| 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 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% |
11913
2.23 KIPS |
|
|
Image Classification (F16)
|
100% |
12202
2.28 KIPS |
|
|
Image Classification (I8)
|
100% |
9877
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14441
241.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13824
230.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12340
206.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
227975
276.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
240679
291.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
209459
253.6 IPS |
|
|
Object Detection (F32)
|
100% |
5161
385.3 IPS |
|
|
Object Detection (F16)
|
100% |
5629
420.2 IPS |
|
|
Object Detection (I8)
|
56% |
4493
335.4 IPS |
|
|
Face Detection (F32)
|
100% |
40070
476.4 IPS |
|
|
Face Detection (F16)
|
100% |
38955
463.2 IPS |
|
|
Face Detection (I8)
|
88% |
33545
398.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
64575
500.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
64365
499.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
50655
392.8 IPS |
|
|
Style Transfer (F32)
|
100% |
237010
311.8 IPS |
|
|
Style Transfer (F16)
|
100% |
229488
301.9 IPS |
|
|
Style Transfer (I8)
|
98% |
214613
282.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23000
821.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25053
894.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18395
656.9 IPS |
|
|
Text Classification (F32)
|
100% |
3538
5.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1987
2.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
4197
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4210
77.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2296
42.3 IPS |
