B450M Steel Legend
Geekbench AI Score
1856
Single Precision Score
976
Half Precision Score
2723
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | xXimiXx |
| Upload Date | November 11 2024 11:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M Steel Legend |
| Motherboard | ASRock B450M 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 | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
2118
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3396
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (Q)
|
87% |
9139
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (Q)
|
86% |
1207
97.0 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
930
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
2653
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3902
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4255
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8416
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7311
9.40 IPS |
|
|
Style Transfer (Q)
|
87% |
10992
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2141
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
505
673.8 IPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1360
30.3 IPS |
