PC BUILD 2020 Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
1811
Single Precision Score
1817
Half Precision Score
1868
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2600X Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1178
219.0 IPS |
|
|
Image Classification (HP)
|
100% |
1176
218.6 IPS |
|
|
Image Classification (Q)
|
100% |
1106
205.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1454
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
2410
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (HP)
|
100% |
1149
91.1 IPS |
|
|
Object Detection (Q)
|
87% |
1151
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
3578
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3036
23.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3066
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6814
8.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6609
8.50 IPS |
|
|
Style Transfer (Q)
|
98% |
6980
9.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1465
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (Q)
|
91% |
590
793.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1758
30.3 IPS |
