B450M-HDV R4.0
Geekbench ML Score
2663
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 11:16 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M-HDV R4.0 |
| Motherboard | ASRock B450M-HDV R4.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700GE |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| 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% |
1438
269.1 IPS |
|
|
Image Classification (F16)
|
100% |
1431
267.8 IPS |
|
|
Image Classification (I8)
|
97% |
2779
520.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1203
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1204
20.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
2124
35.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4856
5.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
4849
5.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
10253
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1455
108.6 IPS |
|
|
Object Detection (F16)
|
100% |
1455
108.6 IPS |
|
|
Object Detection (I8)
|
60% |
1318
98.4 IPS |
|
|
Face Detection (F32)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (F16)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (I8)
|
87% |
3477
41.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5125
39.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5160
40.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
8597
66.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10852
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10829
14.2 IPS |
|
|
Style Transfer (I8)
|
85% |
15008
19.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2087
74.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2094
74.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2605
93.0 IPS |
|
|
Text Classification (F32)
|
100% |
956
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1090
1.57 KIPS |
|
|
Text Classification (I8)
|
94% |
899
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1734
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1720
31.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2102
38.7 IPS |
