Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
627
Single Precision Score
642
Half Precision Score
601
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | December 11 2024 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G with Radeon Vega 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% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
100% |
373
69.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
436
7.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
672
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
679
0.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
697
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
87% |
393
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
1196
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1058
8.15 IPS |
|
|
Depth Estimation (HP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
79% |
898
7.12 IPS |
|
|
Style Transfer (SP)
|
100% |
2095
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2036
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2217
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
365
486.7 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.8 IPS |
|
|
Text Classification (Q)
|
91% |
203
273.1 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (Q)
|
90% |
594
10.3 IPS |
