Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
609
Single Precision Score
692
Half Precision Score
703
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 20 2025 04:36 AM |
| Views | 6 |
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% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
100% |
424
78.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
523
8.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
776
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.5 IPS |
|
|
Object Detection (Q)
|
87% |
434
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.37 IPS |
|
|
Face Detection (HP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1156
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1077
8.30 IPS |
|
|
Depth Estimation (HP)
|
100% |
1070
8.25 IPS |
|
|
Depth Estimation (Q)
|
79% |
1095
8.69 IPS |
|
|
Style Transfer (SP)
|
100% |
2317
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2329
2.99 IPS |
|
|
Style Transfer (Q)
|
98% |
2413
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
466
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
288
383.7 IPS |
|
|
Text Classification (HP)
|
100% |
521
695.4 IPS |
|
|
Text Classification (Q)
|
91% |
365
491.0 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
90% |
760
13.2 IPS |
