Micro-Star International Co., Ltd. Modern 14 F1MG
Geekbench AI Score
820
Single Precision Score
372
Half Precision Score
1526
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mmalafghani_ |
| Upload Date | April 18 2026 05:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 14 F1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-14S1 |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
546
8.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1028
1.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
4958
5.81 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
86% |
1460
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
97% |
2882
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1965
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
3845
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3636
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2679
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
7583
9.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1367
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.4 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.6 IPS |
|
|
Text Classification (Q)
|
97% |
618
828.3 IPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
65% |
878
17.6 IPS |
