System manufacturer System Product Name
Geekbench ML Score
2938
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 09 2025 03:36 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.60 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 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1773
331.7 IPS |
|
|
Image Classification (F16)
|
100% |
1732
324.2 IPS |
|
|
Image Classification (I8)
|
97% |
2975
556.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1558
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1857
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5228
6.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
5156
6.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
10175
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1736
129.6 IPS |
|
|
Object Detection (F16)
|
100% |
1744
130.2 IPS |
|
|
Object Detection (I8)
|
60% |
1619
120.9 IPS |
|
|
Face Detection (F32)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2192
26.1 IPS |
|
|
Face Detection (I8)
|
87% |
3390
40.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5893
45.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5790
44.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
9107
70.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12529
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12432
16.4 IPS |
|
|
Style Transfer (I8)
|
85% |
14179
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2545
90.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2493
89.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2705
96.6 IPS |
|
|
Text Classification (F32)
|
100% |
1778
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1781
2.56 KIPS |
|
|
Text Classification (I8)
|
94% |
404
580.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1943
35.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1976
36.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2110
38.8 IPS |
