ASUS System Product Name
Geekbench ML Score
21129
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 31 2026 06:39 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% |
12304
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12013
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9888
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13773
230.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13744
229.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12645
211.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
223871
271.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
232578
281.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
208318
252.3 IPS |
|
|
Object Detection (F32)
|
100% |
5537
413.4 IPS |
|
|
Object Detection (F16)
|
100% |
5487
409.7 IPS |
|
|
Object Detection (I8)
|
56% |
4818
359.7 IPS |
|
|
Face Detection (F32)
|
100% |
39531
470.0 IPS |
|
|
Face Detection (F16)
|
100% |
39831
473.6 IPS |
|
|
Face Detection (I8)
|
88% |
33290
395.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
63414
491.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
63604
493.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
51415
398.7 IPS |
|
|
Style Transfer (F32)
|
100% |
227785
299.6 IPS |
|
|
Style Transfer (F16)
|
100% |
229142
301.4 IPS |
|
|
Style Transfer (I8)
|
98% |
202876
266.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22198
792.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24188
863.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17285
617.3 IPS |
|
|
Text Classification (F32)
|
100% |
3444
4.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3499
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1932
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4157
76.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4172
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2329
42.9 IPS |
