ASUS System Product Name
Geekbench ML Score
21263
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 05:21 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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12573
2.35 KIPS |
|
|
Image Classification (F16)
|
100% |
11959
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9966
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13728
229.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13919
232.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12581
210.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
240854
291.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
225750
273.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
225423
273.0 IPS |
|
|
Object Detection (F32)
|
100% |
5315
396.8 IPS |
|
|
Object Detection (F16)
|
100% |
5366
400.6 IPS |
|
|
Object Detection (I8)
|
56% |
4691
350.2 IPS |
|
|
Face Detection (F32)
|
100% |
40304
479.2 IPS |
|
|
Face Detection (F16)
|
100% |
40376
480.1 IPS |
|
|
Face Detection (I8)
|
88% |
33033
392.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
65008
504.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64735
502.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
51137
396.6 IPS |
|
|
Style Transfer (F32)
|
100% |
227116
298.8 IPS |
|
|
Style Transfer (F16)
|
100% |
235985
310.4 IPS |
|
|
Style Transfer (I8)
|
98% |
208307
274.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23872
852.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22482
802.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17753
634.0 IPS |
|
|
Text Classification (F32)
|
100% |
3418
4.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3499
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1949
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4206
77.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4176
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2267
41.7 IPS |
