System manufacturer System Product Name
Geekbench ML Score
1985
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 03 2025 12:54 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 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% |
987
184.7 IPS |
|
|
Image Classification (F16)
|
100% |
1004
187.9 IPS |
|
|
Image Classification (I8)
|
97% |
1632
305.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
750
12.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1463
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4711
5.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
4692
5.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
4758
5.76 IPS |
|
|
Object Detection (F32)
|
100% |
1085
81.0 IPS |
|
|
Object Detection (F16)
|
100% |
1090
81.4 IPS |
|
|
Object Detection (I8)
|
60% |
949
70.9 IPS |
|
|
Face Detection (F32)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (I8)
|
87% |
2467
29.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4455
34.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4535
35.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
4928
38.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9938
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10179
13.4 IPS |
|
|
Style Transfer (I8)
|
85% |
8254
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1594
56.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1800
64.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1697
60.6 IPS |
|
|
Text Classification (F32)
|
100% |
915
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
916
1.32 KIPS |
|
|
Text Classification (I8)
|
94% |
732
1.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1298
23.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1807
33.2 IPS |
