Micro-Star International Co., Ltd. MS-7B86
Geekbench AI Score
2555
Single Precision Score
1280
Half Precision Score
4321
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | willus |
| Upload Date | November 29 2025 01:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd. B550 GAMING GEN3 (MS-7B86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.0 IPS |
|
|
Image Classification (Q)
|
96% |
3537
660.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
4551
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3667
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
8938
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
58% |
2519
275.3 IPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
1418
16.9 IPS |
|
|
Face Detection (Q)
|
96% |
6609
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4559
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1758
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7807
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9014
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7229
9.29 IPS |
|
|
Style Transfer (Q)
|
87% |
11152
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3117
115.5 IPS |
|
|
Text Classification (SP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.5 IPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2728
52.7 IPS |
