Micro-Star International Co., Ltd. MS-7D22
Geekbench AI Score
1935
Single Precision Score
999
Half Precision Score
3201
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bkalhashmy |
| Upload Date | December 16 2025 05:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10500 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.5 IPS |
|
|
Image Classification (Q)
|
96% |
2574
480.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
3284
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3141
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2687
3.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
6603
7.81 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (Q)
|
58% |
1900
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
4639
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3867
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1453
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5922
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7272
9.35 IPS |
|
|
Style Transfer (HP)
|
100% |
5978
7.68 IPS |
|
|
Style Transfer (Q)
|
87% |
9401
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2555
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.3 IPS |
|
|
Text Classification (Q)
|
97% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1629
31.5 IPS |
