ASUS System Product Name
Geekbench ML Score
4400
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Fasttrack |
| Upload Date | August 29 2024 10:19 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 VII HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1887
353.2 IPS |
|
|
Image Classification (F16)
|
100% |
1870
349.8 IPS |
|
|
Image Classification (I8)
|
97% |
3779
707.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2313
38.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2305
38.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
2817
47.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
13514
16.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
13512
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
23954
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2097
156.5 IPS |
|
|
Object Detection (F16)
|
100% |
2098
156.6 IPS |
|
|
Object Detection (I8)
|
60% |
1964
146.6 IPS |
|
|
Face Detection (F32)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (F16)
|
100% |
3623
43.1 IPS |
|
|
Face Detection (I8)
|
87% |
4931
58.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9706
75.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9804
76.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
16689
129.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27316
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27204
35.8 IPS |
|
|
Style Transfer (I8)
|
85% |
24046
31.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3766
134.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3754
134.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4477
159.9 IPS |
|
|
Text Classification (F32)
|
100% |
1575
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1569
2.26 KIPS |
|
|
Text Classification (I8)
|
94% |
388
558.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2733
50.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2735
50.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3194
58.8 IPS |
