Micro-Star International Co., Ltd. Modern 15 H AI C1MG
Geekbench AI Score
2849
Single Precision Score
2829
Half Precision Score
6667
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 11:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 15 H AI C1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-15H5 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.8 IPS |
|
|
Image Classification (Q)
|
100% |
4768
886.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4447
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3818
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3914
4.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
13377
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.8 IPS |
|
|
Object Detection (Q)
|
88% |
3275
262.5 IPS |
|
|
Face Detection (SP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
9414
111.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4433
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4403
33.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11572
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10936
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11187
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38705
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7066
261.7 IPS |
|
|
Text Classification (SP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1832
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
3155
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1988
34.3 IPS |
