Micro-Star International Co., Ltd. MS-7B86
Geekbench AI Score
2100
Single Precision Score
2065
Half Precision Score
1813
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | vanv101 |
| Upload Date | January 12 2026 03:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Micro-Star International Co., Ltd. MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd. B550 GAMING GEN3 (MS-7B86) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1660
308.8 IPS |
|
|
Image Classification (HP)
|
100% |
1277
237.4 IPS |
|
|
Image Classification (Q)
|
99% |
1267
236.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1245
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2841
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2825
3.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
4400
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (Q)
|
85% |
1500
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
2653
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2463
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2409
18.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2219
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3201
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3166
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
6662
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1740
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1907
70.6 IPS |
|
|
Text Classification (SP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
742
996.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (Q)
|
58% |
665
15.6 IPS |
