Micro-Star International Co., Ltd. Modern 15 F1MG
Geekbench ML Score
2244
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 14 2025 04:02 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 15 F1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-15S1 |
| 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 |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1129
211.2 IPS |
|
|
Image Classification (F16)
|
100% |
1125
210.6 IPS |
|
|
Image Classification (I8)
|
99% |
2148
402.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
930
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
937
15.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2241
37.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3098
3.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
3001
3.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
10132
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1171
87.4 IPS |
|
|
Object Detection (F16)
|
100% |
1247
93.1 IPS |
|
|
Object Detection (I8)
|
62% |
1190
88.9 IPS |
|
|
Face Detection (F32)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (F16)
|
100% |
2149
25.6 IPS |
|
|
Face Detection (I8)
|
89% |
3032
36.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3656
28.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3685
28.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
6527
50.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7571
9.96 IPS |
|
|
Style Transfer (F16)
|
100% |
7782
10.2 IPS |
|
|
Style Transfer (I8)
|
98% |
13167
17.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1777
63.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1735
62.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2951
105.4 IPS |
|
|
Text Classification (F32)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1050
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
1032
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2079
38.3 IPS |
