Micro-Star International Co., Ltd. MS-7D23
Geekbench AI Score
1836
Single Precision Score
980
Half Precision Score
3678
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alazycomputer |
| Upload Date | June 24 2025 09:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D23 |
| Motherboard | Micro-Star International Co., Ltd. H510M PRO-E (MS-7D23) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (Q)
|
99% |
4520
843.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1837
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2994
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
12203
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
3665
294.5 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
5492
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3529
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1428
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9204
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6804
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
5959
7.66 IPS |
|
|
Style Transfer (Q)
|
98% |
10368
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2825
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.6 IPS |
|
|
Text Classification (Q)
|
97% |
467
625.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (Q)
|
65% |
1765
35.5 IPS |
