B450 Steel Legend
Geekbench ML Score
1288
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 09:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450 Steel Legend |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 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% |
781
146.1 IPS |
|
|
Image Classification (F16)
|
100% |
770
144.0 IPS |
|
|
Image Classification (I8)
|
97% |
892
166.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
496
8.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
8.40 IPS |
|
|
Image Segmentation (I8)
|
97% |
800
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2223
2.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
2228
2.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
2157
2.61 IPS |
|
|
Object Detection (F32)
|
100% |
797
59.5 IPS |
|
|
Object Detection (F16)
|
100% |
799
59.7 IPS |
|
|
Object Detection (I8)
|
60% |
651
48.6 IPS |
|
|
Face Detection (F32)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (F16)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (I8)
|
87% |
1788
21.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2763
21.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2752
21.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
2652
20.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5769
7.59 IPS |
|
|
Style Transfer (F16)
|
100% |
5797
7.63 IPS |
|
|
Style Transfer (I8)
|
85% |
5236
6.89 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1152
41.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1171
41.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1012
36.1 IPS |
|
|
Text Classification (F32)
|
100% |
703
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
714
1.03 KIPS |
|
|
Text Classification (I8)
|
94% |
246
354.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1158
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1164
21.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1165
21.4 IPS |
