Micro-Star International Co., Ltd. Modern 15 F1MG
Geekbench ML Score
2090
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 14 2025 04:05 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1044
195.3 IPS |
|
|
Image Classification (F16)
|
100% |
997
186.6 IPS |
|
|
Image Classification (I8)
|
100% |
813
152.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1588
26.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1208
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8519
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8535
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
4723
5.72 IPS |
|
|
Object Detection (F32)
|
100% |
1032
77.0 IPS |
|
|
Object Detection (F16)
|
100% |
1076
80.4 IPS |
|
|
Object Detection (I8)
|
54% |
970
72.4 IPS |
|
|
Face Detection (F32)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2254
26.8 IPS |
|
|
Face Detection (I8)
|
89% |
1512
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5300
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5244
40.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3838
29.8 IPS |
|
|
Style Transfer (F32)
|
100% |
22907
30.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22462
29.5 IPS |
|
|
Style Transfer (I8)
|
98% |
14201
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3196
114.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3130
111.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1379
49.3 IPS |
|
|
Text Classification (F32)
|
100% |
712
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
756
1.09 KIPS |
|
|
Text Classification (I8)
|
98% |
375
539.5 IPS |
|
|
Machine Translation (F32)
|
100% |
769
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (I8)
|
70% |
450
8.28 IPS |
