BIOSTAR Group B450MHP
Geekbench AI Score
4467
Single Precision Score
4439
Half Precision Score
7736
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 21 2024 09:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon 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% |
2886
536.7 IPS |
|
|
Image Classification (HP)
|
100% |
2812
522.9 IPS |
|
|
Image Classification (Q)
|
100% |
5402
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3084
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5664
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5908
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
13978
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (Q)
|
87% |
5418
434.5 IPS |
|
|
Face Detection (SP)
|
100% |
5112
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
5167
61.4 IPS |
|
|
Face Detection (Q)
|
97% |
15170
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7123
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7168
55.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
14210
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16877
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16920
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39668
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3399
125.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8088
299.6 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (Q)
|
91% |
1234
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3840
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3882
66.9 IPS |
