B450M Pro4-F
Geekbench ML Score
2730
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M Pro4-F |
| Motherboard | ASRock B450M Pro4-F |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 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 | 32.0 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% |
1609
301.1 IPS |
|
|
Image Classification (F16)
|
100% |
1679
314.3 IPS |
|
|
Image Classification (I8)
|
97% |
3076
575.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1487
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1538
25.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1669
27.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4049
4.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
4441
5.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
9062
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
1225
91.5 IPS |
|
|
Object Detection (F16)
|
100% |
1647
123.0 IPS |
|
|
Object Detection (I8)
|
60% |
1541
115.1 IPS |
|
|
Face Detection (F32)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (F16)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (I8)
|
87% |
3301
39.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5546
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5121
39.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
8639
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10038
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10602
13.9 IPS |
|
|
Style Transfer (I8)
|
85% |
11948
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2427
86.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2356
84.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2945
105.2 IPS |
|
|
Text Classification (F32)
|
100% |
1629
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1650
2.37 KIPS |
|
|
Text Classification (I8)
|
94% |
373
535.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1957
36.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2025
37.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2391
44.0 IPS |
