Micro-Star International Co., Ltd. Modern 15 A11SBU
Geekbench AI Score
1977
Single Precision Score
1965
Half Precision Score
5642
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 08:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1155G7 @ 2.50GHz |
| 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% |
1247
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (Q)
|
100% |
4114
765.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2558
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2504
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
10172
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (Q)
|
88% |
3794
304.1 IPS |
|
|
Face Detection (SP)
|
100% |
2282
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (Q)
|
100% |
9855
117.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3064
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3077
23.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10325
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6348
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
6473
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
24904
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5168
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2948
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2086
35.9 IPS |
