ASUS System Product Name
Geekbench ML Score
21356
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:58 AM |
| Views | 10 |
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% |
12407
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
12513
2.34 KIPS |
|
|
Image Classification (I8)
|
100% |
10106
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13753
229.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13816
230.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12446
207.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
231353
280.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
239221
289.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
212220
257.0 IPS |
|
|
Object Detection (F32)
|
100% |
5262
392.8 IPS |
|
|
Object Detection (F16)
|
100% |
5613
419.0 IPS |
|
|
Object Detection (I8)
|
56% |
4833
360.8 IPS |
|
|
Face Detection (F32)
|
100% |
39618
471.1 IPS |
|
|
Face Detection (F16)
|
100% |
39913
474.6 IPS |
|
|
Face Detection (I8)
|
88% |
33051
393.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
65741
509.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
65142
505.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
52878
410.1 IPS |
|
|
Style Transfer (F32)
|
100% |
223348
293.8 IPS |
|
|
Style Transfer (F16)
|
100% |
227553
299.3 IPS |
|
|
Style Transfer (I8)
|
98% |
210030
276.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24350
869.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23551
841.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17371
620.4 IPS |
|
|
Text Classification (F32)
|
100% |
3471
4.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3507
5.04 KIPS |
|
|
Text Classification (I8)
|
98% |
2005
2.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
4185
77.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4191
77.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2296
42.3 IPS |
