Generic
Geekbench ML Score
1065
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | May 09 2025 05:21 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A320M-HDV R4.0 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 8.00 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% |
684
127.9 IPS |
|
|
Image Classification (F16)
|
100% |
593
111.0 IPS |
|
|
Image Classification (I8)
|
97% |
790
147.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
386
6.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
403
6.74 IPS |
|
|
Image Segmentation (I8)
|
97% |
771
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1503
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
1486
1.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
2172
2.63 IPS |
|
|
Object Detection (F32)
|
100% |
609
45.5 IPS |
|
|
Object Detection (F16)
|
100% |
606
45.2 IPS |
|
|
Object Detection (I8)
|
60% |
544
40.6 IPS |
|
|
Face Detection (F32)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (I8)
|
87% |
1637
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1969
15.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1930
15.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
2569
19.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4008
5.27 IPS |
|
|
Style Transfer (F16)
|
100% |
4047
5.32 IPS |
|
|
Style Transfer (I8)
|
85% |
4896
6.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
681
24.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
920
32.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1014
36.2 IPS |
|
|
Text Classification (F32)
|
100% |
661
950.1 IPS |
|
|
Text Classification (F16)
|
100% |
660
947.9 IPS |
|
|
Text Classification (I8)
|
94% |
254
365.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1048
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1068
19.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1106
20.3 IPS |
