Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
2104
Single Precision Score
2026
Half Precision Score
1490
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | yar85 |
| Upload Date | October 31 2025 02:13 PM |
| Views | 5 |
| Notes | 170W PPT, normal run |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1461
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
1207
224.5 IPS |
|
|
Image Classification (Q)
|
99% |
996
185.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1047
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3044
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
3495
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (Q)
|
85% |
1123
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
2156
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2472
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2506
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1945
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3386
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3420
4.40 IPS |
|
|
Style Transfer (Q)
|
98% |
5927
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1400
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1236
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
630
845.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2609
44.9 IPS |
|
|
Machine Translation (Q)
|
58% |
605
14.2 IPS |
