ASUS System Product Name
Geekbench ML Score
21465
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 04:01 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% |
12239
2.29 KIPS |
|
|
Image Classification (F16)
|
100% |
12233
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9751
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13559
226.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13333
222.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12791
213.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
259879
314.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
235947
285.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
207381
251.1 IPS |
|
|
Object Detection (F32)
|
100% |
5411
404.0 IPS |
|
|
Object Detection (F16)
|
100% |
5630
420.3 IPS |
|
|
Object Detection (I8)
|
56% |
5571
415.9 IPS |
|
|
Face Detection (F32)
|
100% |
40445
480.9 IPS |
|
|
Face Detection (F16)
|
100% |
40486
481.4 IPS |
|
|
Face Detection (I8)
|
88% |
33308
396.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
65250
506.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
63709
494.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
49949
387.4 IPS |
|
|
Style Transfer (F32)
|
100% |
250129
329.0 IPS |
|
|
Style Transfer (F16)
|
100% |
237773
312.8 IPS |
|
|
Style Transfer (I8)
|
98% |
213031
280.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23936
854.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22240
794.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18099
646.4 IPS |
|
|
Text Classification (F32)
|
100% |
3316
4.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3435
4.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1920
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4181
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4159
76.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2338
43.0 IPS |
