Micro-Star International Co., Ltd. Modern 14 F1MG
Geekbench AI Score
478
Single Precision Score
271
Half Precision Score
820
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | LBDarji |
| Upload Date | March 04 2026 07:23 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
1245
231.5 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
99% |
2530
471.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
590
9.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
1502
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.17 IPS |
|
|
Object Detection (Q)
|
86% |
315
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
660
7.85 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.25 IPS |
|
|
Face Detection (Q)
|
97% |
724
8.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
979
7.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1754
2.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1173
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2565
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.15 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
361
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.7 IPS |
|
|
Text Classification (HP)
|
100% |
339
452.9 IPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
93
1.60 IPS |
|
|
Machine Translation (Q)
|
65% |
298
5.98 IPS |
