ASUS System Product Name
Geekbench ML Score
21222
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 18 2025 06:30 AM |
| Views | 6 |
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% |
11748
2.20 KIPS |
|
|
Image Classification (F16)
|
100% |
11748
2.20 KIPS |
|
|
Image Classification (I8)
|
100% |
9626
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14085
235.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13927
232.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12328
205.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
245406
297.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
229770
278.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
208528
252.5 IPS |
|
|
Object Detection (F32)
|
100% |
5358
400.0 IPS |
|
|
Object Detection (F16)
|
100% |
5272
393.6 IPS |
|
|
Object Detection (I8)
|
56% |
4614
344.4 IPS |
|
|
Face Detection (F32)
|
100% |
40161
477.5 IPS |
|
|
Face Detection (F16)
|
100% |
39920
474.7 IPS |
|
|
Face Detection (I8)
|
88% |
33696
400.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
66585
516.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
64538
500.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
52229
405.0 IPS |
|
|
Style Transfer (F32)
|
100% |
218305
287.2 IPS |
|
|
Style Transfer (F16)
|
100% |
230399
303.1 IPS |
|
|
Style Transfer (I8)
|
98% |
207732
273.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24873
888.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24287
867.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18239
651.4 IPS |
|
|
Text Classification (F32)
|
100% |
3392
4.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3472
4.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1915
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4179
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4188
77.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2346
43.2 IPS |
