Micro-Star International Co., Ltd. Modern 15 A11SBU
Geekbench AI Score
1364
Single Precision Score
755
Half Precision Score
3144
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 08:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1155G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 15 A11SBU |
| Motherboard | Micro-Star International Co., Ltd. MS-1552 |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1144
212.8 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.5 IPS |
|
|
Image Classification (Q)
|
99% |
3008
561.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1895
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2088
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1717
2.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
7802
9.15 IPS |
|
|
Object Detection (SP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
86% |
2698
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
741
8.81 IPS |
|
|
Face Detection (Q)
|
97% |
4535
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2570
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
6189
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4726
6.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3917
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
7331
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2183
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
549
733.2 IPS |
|
|
Text Classification (Q)
|
97% |
1155
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (Q)
|
65% |
1520
30.5 IPS |
