Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2138
Single Precision Score
2827
Half Precision Score
1631
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | September 12 2024 03:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | conomie d'nergie |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (HP)
|
100% |
1129
210.0 IPS |
|
|
Image Classification (Q)
|
99% |
776
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
870
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8422
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15297
17.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
7087
8.30 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
1171
92.9 IPS |
|
|
Object Detection (Q)
|
89% |
853
68.3 IPS |
|
|
Face Detection (SP)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
1633
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5288
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7417
57.1 IPS |
|
|
Depth Estimation (Q)
|
72% |
3684
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14401
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23879
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11723
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3164
116.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4703
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2222
82.3 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.2 IPS |
|
|
Text Classification (HP)
|
100% |
538
718.3 IPS |
|
|
Text Classification (Q)
|
97% |
503
673.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
60% |
415
9.34 IPS |
