System manufacturer System Product Name
Geekbench ML Score
2816
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 08:17 AM |
| Views | 1 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1789
334.7 IPS |
|
|
Image Classification (F16)
|
100% |
1791
335.1 IPS |
|
|
Image Classification (I8)
|
97% |
2896
542.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1372
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1825
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4948
5.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
4890
5.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
10100
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1673
124.9 IPS |
|
|
Object Detection (F16)
|
100% |
1689
126.1 IPS |
|
|
Object Detection (I8)
|
60% |
1613
120.4 IPS |
|
|
Face Detection (F32)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (I8)
|
87% |
3106
36.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5643
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5628
43.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
8748
67.8 IPS |
|
|
Style Transfer (F32)
|
100% |
11979
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12209
16.1 IPS |
|
|
Style Transfer (I8)
|
85% |
12341
16.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2429
86.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2382
85.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2745
98.0 IPS |
|
|
Text Classification (F32)
|
100% |
1756
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1780
2.56 KIPS |
|
|
Text Classification (I8)
|
94% |
407
584.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1861
34.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1871
34.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2081
38.3 IPS |
