BIOSTAR Group B450MHP
Geekbench AI Score
3461
Single Precision Score
1489
Half Precision Score
4064
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 21 2024 09:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B450MHP |
| Motherboard | BIOSTAR Group B450MHP |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (HP)
|
100% |
559
103.9 IPS |
|
|
Image Classification (Q)
|
96% |
4940
922.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2096
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4721
5.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
12476
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (Q)
|
58% |
2639
288.4 IPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (Q)
|
96% |
7353
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7804
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2174
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10941
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13855
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11752
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
17021
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2846
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.5 IPS |
|
|
Text Classification (Q)
|
97% |
423
567.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2191
42.3 IPS |
