B450 Steel Legend
Geekbench ML Score
3226
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Redwoodz |
| Upload Date | February 06 2024 11:49 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450 Steel Legend |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.80 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1525
285.4 IPS |
|
|
Image Classification (F16)
|
100% |
1523
285.0 IPS |
|
|
Image Classification (I8)
|
99% |
1252
234.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1608
26.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1372
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
12897
15.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12900
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
10871
13.2 IPS |
|
|
Object Detection (F32)
|
100% |
1458
108.8 IPS |
|
|
Object Detection (F16)
|
100% |
1443
107.7 IPS |
|
|
Object Detection (I8)
|
67% |
1234
92.1 IPS |
|
|
Face Detection (F32)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (F16)
|
100% |
3234
38.5 IPS |
|
|
Face Detection (I8)
|
89% |
2516
29.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8202
63.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8198
63.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
6447
50.0 IPS |
|
|
Style Transfer (F32)
|
100% |
22956
30.2 IPS |
|
|
Style Transfer (F16)
|
100% |
22932
30.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18648
24.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5192
185.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5181
185.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3585
128.0 IPS |
|
|
Text Classification (F32)
|
100% |
1093
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1093
1.57 KIPS |
|
|
Text Classification (I8)
|
98% |
723
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1997
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2001
36.8 IPS |
|
|
Machine Translation (I8)
|
69% |
1008
18.5 IPS |
