ASUS System Product Name
Geekbench ML Score
21305
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 09:49 AM |
| Views | 4 |
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% |
12372
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
11969
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9856
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14001
233.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
14125
235.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
13122
219.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
229904
278.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
235389
285.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
208376
252.3 IPS |
|
|
Object Detection (F32)
|
100% |
5595
417.7 IPS |
|
|
Object Detection (F16)
|
100% |
5506
411.1 IPS |
|
|
Object Detection (I8)
|
56% |
4750
354.6 IPS |
|
|
Face Detection (F32)
|
100% |
39759
472.7 IPS |
|
|
Face Detection (F16)
|
100% |
39904
474.5 IPS |
|
|
Face Detection (I8)
|
88% |
34096
405.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
64315
498.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
65362
506.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
50163
389.0 IPS |
|
|
Style Transfer (F32)
|
100% |
230718
303.5 IPS |
|
|
Style Transfer (F16)
|
100% |
229744
302.2 IPS |
|
|
Style Transfer (I8)
|
98% |
207048
272.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23935
854.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22954
819.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18312
654.0 IPS |
|
|
Text Classification (F32)
|
100% |
3418
4.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1938
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4196
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4139
76.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2332
42.9 IPS |
