Generic
Geekbench ML Score
881
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 09:41 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview (64-bit) |
| Model | Generic |
| Motherboard | ASRock A300M-STX |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
520
97.2 IPS |
|
|
Image Classification (F16)
|
100% |
597
111.7 IPS |
|
|
Image Classification (I8)
|
97% |
590
110.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
343
5.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
4.94 IPS |
|
|
Image Segmentation (I8)
|
97% |
679
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1293
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
1290
1.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
1330
1.61 IPS |
|
|
Object Detection (F32)
|
100% |
519
38.7 IPS |
|
|
Object Detection (F16)
|
100% |
490
36.6 IPS |
|
|
Object Detection (I8)
|
60% |
455
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
971
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (I8)
|
87% |
1185
14.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1627
12.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1592
12.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
1628
12.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3257
4.28 IPS |
|
|
Style Transfer (F16)
|
100% |
3251
4.28 IPS |
|
|
Style Transfer (I8)
|
85% |
3196
4.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
756
27.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
772
27.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
721
25.7 IPS |
|
|
Text Classification (F32)
|
100% |
532
764.9 IPS |
|
|
Text Classification (F16)
|
100% |
636
913.8 IPS |
|
|
Text Classification (I8)
|
94% |
462
663.5 IPS |
|
|
Machine Translation (F32)
|
100% |
836
15.4 IPS |
|
|
Machine Translation (F16)
|
100% |
851
15.7 IPS |
|
|
Machine Translation (I8)
|
67% |
876
16.1 IPS |
