Micro-Star International Co., Ltd. MS-7A37
Geekbench AI Score
1078
Single Precision Score
565
Half Precision Score
1361
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lida289 |
| Upload Date | December 15 2025 05:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 1700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A37 |
| Motherboard | Micro-Star International Co., Ltd. B350M MORTAR (MS-7A37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (Q)
|
96% |
1034
193.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1356
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1683
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1458
1.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
2070
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
58% |
747
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (Q)
|
96% |
2453
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2096
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
2382
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4222
5.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3625
4.66 IPS |
|
|
Style Transfer (Q)
|
87% |
4560
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.3 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.3 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.0 IPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.66 IPS |
|
|
Machine Translation (Q)
|
68% |
897
17.3 IPS |
