ASUS System Product Name
Geekbench ML Score
4121
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 06:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Ausbalanciert |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1469
274.9 IPS |
|
|
Image Classification (F16)
|
100% |
1495
279.7 IPS |
|
|
Image Classification (I8)
|
99% |
3880
726.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2045
34.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2049
34.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2700
45.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9822
11.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9906
12.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
36433
44.1 IPS |
|
|
Object Detection (F32)
|
100% |
1728
129.0 IPS |
|
|
Object Detection (F16)
|
100% |
1722
128.6 IPS |
|
|
Object Detection (I8)
|
62% |
1706
127.4 IPS |
|
|
Face Detection (F32)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (F16)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (I8)
|
89% |
6045
71.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8541
66.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8682
67.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
20411
158.3 IPS |
|
|
Style Transfer (F32)
|
100% |
19069
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
20804
27.4 IPS |
|
|
Style Transfer (I8)
|
98% |
41111
54.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3270
116.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3789
135.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4363
155.8 IPS |
|
|
Text Classification (F32)
|
100% |
1359
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1209
1.74 KIPS |
|
|
Text Classification (I8)
|
98% |
356
511.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2748
50.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2737
50.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3295
60.6 IPS |
