Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
761
Single Precision Score
763
Half Precision Score
593
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | azubal |
| Upload Date | February 20 2025 04:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 1600 |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
99% |
375
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
464
7.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1049
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1113
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.1 IPS |
|
|
Object Detection (Q)
|
85% |
345
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
876
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
782
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
817
6.29 IPS |
|
|
Depth Estimation (Q)
|
63% |
685
6.42 IPS |
|
|
Style Transfer (SP)
|
100% |
1257
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1400
1.80 IPS |
|
|
Style Transfer (Q)
|
98% |
2281
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
659
879.7 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.7 IPS |
|
|
Text Classification (Q)
|
92% |
308
413.5 IPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (Q)
|
58% |
319
7.49 IPS |
