Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
3390
Single Precision Score
1328
Half Precision Score
5893
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | DavideGag68 |
| Upload Date | March 04 2026 08:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (MS-7C37) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2504
465.6 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
96% |
5148
961.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
7559
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8621
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5410
6.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
18992
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
58% |
4303
470.1 IPS |
|
|
Face Detection (SP)
|
100% |
5079
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
9020
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7457
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2065
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13118
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17318
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14774
19.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15615
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1548
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3261
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
529
706.6 IPS |
|
|
Text Classification (Q)
|
97% |
1071
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2463
47.6 IPS |
