Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
1523
Single Precision Score
1533
Half Precision Score
1207
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 11 2025 11:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| 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 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1040
193.3 IPS |
|
|
Image Classification (HP)
|
100% |
1057
196.6 IPS |
|
|
Image Classification (Q)
|
99% |
740
138.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
930
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2436
2.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
3019
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (Q)
|
85% |
838
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1856
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1557
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1739
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1730
13.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1551
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2751
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2736
3.52 IPS |
|
|
Style Transfer (Q)
|
98% |
4875
6.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1270
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
523
702.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1936
33.3 IPS |
|
|
Machine Translation (Q)
|
58% |
484
11.4 IPS |
