Micro-Star International Co., Ltd. MS-7D20
Geekbench AI Score
1479
Single Precision Score
881
Half Precision Score
2154
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Huso5561 |
| Upload Date | April 17 2026 10:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10105F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D20 |
| Motherboard | Micro-Star International Co., Ltd. B560M-A PRO (MS-7D20) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
771
143.5 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.6 IPS |
|
|
Image Classification (Q)
|
96% |
1619
302.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
1185
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
5246
6.20 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.2 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (Q)
|
58% |
1323
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (Q)
|
96% |
3315
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2643
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
4540
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6230
8.01 IPS |
|
|
Style Transfer (HP)
|
100% |
4967
6.38 IPS |
|
|
Style Transfer (Q)
|
87% |
7567
9.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2557
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
697
930.9 IPS |
|
|
Text Classification (Q)
|
97% |
414
555.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
68% |
1340
25.9 IPS |
