Micro-Star International Co., Ltd. MS-7D15
Geekbench AI Score
2930
Single Precision Score
1429
Half Precision Score
6606
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 07:21 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% |
1727
321.3 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
99% |
5854
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6900
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5273
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
18378
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1933
153.3 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5923
476.0 IPS |
|
|
Face Detection (SP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7945
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5017
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1658
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12440
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12777
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9880
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18109
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5620
208.1 IPS |
|
|
Text Classification (SP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1317
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2720
54.7 IPS |
