Micro-Star International Co., Ltd. MS-7D22
Geekbench AI Score
2182
Single Precision Score
1061
Half Precision Score
3385
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 12:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D22 |
| Motherboard | Micro-Star International Co., Ltd. H510M-A PRO (MS-7D22) |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
96% |
2726
509.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
3375
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3768
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
7086
8.38 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
58% |
1962
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
972
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
4962
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3927
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1404
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6415
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9372
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7385
9.49 IPS |
|
|
Style Transfer (Q)
|
87% |
10393
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2911
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
681
909.4 IPS |
|
|
Text Classification (Q)
|
97% |
993
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
68% |
1617
31.2 IPS |
