Micro-Star International Co., Ltd. MS-7D15
Geekbench AI Score
3232
Single Precision Score
1442
Half Precision Score
6621
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 07:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D15 |
| Motherboard | Micro-Star International Co., Ltd. MAG B560 TORPEDO (MS-7D15) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2595
482.5 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
99% |
6249
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6899
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5500
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4419
5.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
18331
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2535
201.1 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
5565
447.3 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
7958
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6996
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2050
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13811
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11668
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9842
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18894
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5276
195.4 IPS |
|
|
Text Classification (SP)
|
100% |
1656
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2449
49.2 IPS |
