Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2265
Single Precision Score
628
Half Precision Score
3556
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 11 2025 11:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
989
184.0 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
94% |
3041
568.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1966
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4979
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5307
6.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
8679
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
58% |
2212
241.7 IPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (Q)
|
96% |
8816
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6386
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
972
7.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
7535
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17300
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9605
12.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14396
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1727
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
1060
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
252
335.9 IPS |
|
|
Text Classification (Q)
|
97% |
964
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (Q)
|
68% |
1770
34.2 IPS |
