Micro-Star International Co., Ltd. Modern 14 B11MOU
Geekbench AI Score
2301
Single Precision Score
1147
Half Precision Score
5080
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | October 03 2025 03:02 PM |
| Views | 6 |
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 14 B11MOU |
| Motherboard | Micro-Star International Co., Ltd. MS-14D3 |
| Power Plan | High 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% |
1767
328.6 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
99% |
4363
813.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4804
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
11116
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
86% |
4137
332.5 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6537
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4487
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1675
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9831
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8030
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6154
7.91 IPS |
|
|
Style Transfer (Q)
|
98% |
13846
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4601
170.4 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1440
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2018
40.6 IPS |
