BIOSTAR Group B450MHP
Geekbench AI Score
3518
Single Precision Score
4845
Half Precision Score
2611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 21 2024 09:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
1439
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
1947
362.1 IPS |
|
|
Image Classification (Q)
|
100% |
1273
236.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1301
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13352
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
23887
27.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10892
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
1979
157.0 IPS |
|
|
Object Detection (Q)
|
88% |
1365
109.4 IPS |
|
|
Face Detection (SP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
4861
57.8 IPS |
|
|
Face Detection (Q)
|
97% |
2779
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8075
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11957
92.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6176
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23119
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38572
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18027
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7405
273.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3251
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1216
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
734
983.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (Q)
|
70% |
811
15.2 IPS |
