Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
1759
Single Precision Score
1765
Half Precision Score
1770
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | arifian0 |
| Upload Date | January 10 2026 03:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO (MS-7B86) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1124
209.1 IPS |
|
|
Image Classification (HP)
|
100% |
1145
212.9 IPS |
|
|
Image Classification (Q)
|
100% |
1090
202.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1452
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2295
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2293
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
2367
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (HP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (Q)
|
87% |
1126
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
3645
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2964
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2985
23.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2955
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6553
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
6511
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
6839
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1347
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1454
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (Q)
|
91% |
378
507.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1772
30.5 IPS |
