ASUS System Product Name
Geekbench ML Score
21444
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 04:45 AM |
| Views | 3 |
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% |
12254
2.29 KIPS |
|
|
Image Classification (F16)
|
100% |
12119
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
9791
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13712
229.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13543
226.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
12926
215.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
247859
300.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
232075
281.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
225245
272.8 IPS |
|
|
Object Detection (F32)
|
100% |
5451
407.0 IPS |
|
|
Object Detection (F16)
|
100% |
5701
425.6 IPS |
|
|
Object Detection (I8)
|
56% |
5074
378.8 IPS |
|
|
Face Detection (F32)
|
100% |
40598
482.7 IPS |
|
|
Face Detection (F16)
|
100% |
39275
467.0 IPS |
|
|
Face Detection (I8)
|
88% |
33337
396.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
64317
498.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
63520
492.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50742
393.5 IPS |
|
|
Style Transfer (F32)
|
100% |
231191
304.1 IPS |
|
|
Style Transfer (F16)
|
100% |
228314
300.3 IPS |
|
|
Style Transfer (I8)
|
98% |
209918
276.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24183
863.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23324
833.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17585
628.0 IPS |
|
|
Text Classification (F32)
|
100% |
3535
5.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1972
2.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
4215
77.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4216
77.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2359
43.4 IPS |
