Micro-Star International Co., Ltd. Modern 15 H AI C1MG
Geekbench AI Score
1105
Single Precision Score
368
Half Precision Score
2535
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | aminul786 |
| Upload Date | February 18 2025 01:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 15 H AI C1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-15H5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (Q)
|
99% |
3081
574.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1423
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
3981
4.67 IPS |
|
|
Object Detection (SP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.79 IPS |
|
|
Object Detection (Q)
|
86% |
4359
350.3 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
5403
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3710
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1385
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
4753
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1322
1.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1499
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
9967
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1667
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.0 IPS |
|
|
Text Classification (HP)
|
100% |
255
339.9 IPS |
|
|
Text Classification (Q)
|
97% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.71 IPS |
|
|
Machine Translation (Q)
|
65% |
451
9.06 IPS |
