Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
3160
Single Precision Score
931
Half Precision Score
6063
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | yar85 |
| Upload Date | October 31 2025 02:24 PM |
| Views | 16 |
| Notes | 170W PPT, normal run |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.12 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
94% |
5850
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
2898
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5484
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6134
7.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
17856
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.4 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (Q)
|
58% |
4620
504.8 IPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
432
5.14 IPS |
|
|
Face Detection (Q)
|
96% |
11638
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
899
6.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
12030
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19791
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15970
20.5 IPS |
|
|
Style Transfer (Q)
|
87% |
19961
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1913
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3508
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.7 IPS |
|
|
Text Classification (Q)
|
97% |
1521
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3219
62.2 IPS |
