Micro-Star International Co., Ltd. MS-7B86
Geekbench AI Score
3599
Single Precision Score
3548
Half Precision Score
5732
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | willus |
| Upload Date | November 29 2025 01:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| 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% |
1804
335.5 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (Q)
|
100% |
3257
605.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4711
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4277
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4202
4.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
9172
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (Q)
|
87% |
3835
307.6 IPS |
|
|
Face Detection (SP)
|
100% |
6129
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
5207
61.9 IPS |
|
|
Face Detection (Q)
|
97% |
10504
125.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5365
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5321
41.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
10958
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12720
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12376
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26727
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2539
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2572
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5361
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
91% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3544
61.1 IPS |
