Micro-Star International Co., Ltd. Modern 14 F1MG
Geekbench AI Score
1738
Single Precision Score
692
Half Precision Score
3320
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hsaljuhani |
| Upload Date | November 17 2025 07:05 PM |
| Views | 10 |
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 |
| Power Plan | Balanced |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
2671
498.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
3690
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1859
2.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
7875
9.23 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
86% |
2487
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
97% |
4423
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3619
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
965
7.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
6557
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6560
8.43 IPS |
|
|
Style Transfer (HP)
|
100% |
4191
5.39 IPS |
|
|
Style Transfer (Q)
|
98% |
10370
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1955
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
362
482.9 IPS |
|
|
Text Classification (Q)
|
97% |
953
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1507
30.3 IPS |
