Micro-Star International Co., Ltd. Modern 15 H AI C1MG
Geekbench AI Score
7412
Single Precision Score
12694
Half Precision Score
18985
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5094
947.4 IPS |
|
|
Image Classification (HP)
|
100% |
7851
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
8791
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12035
195.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15201
246.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20799
24.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
21902
25.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
68821
80.6 IPS |
|
|
Object Detection (SP)
|
100% |
4924
390.6 IPS |
|
|
Object Detection (HP)
|
100% |
8527
676.3 IPS |
|
|
Object Detection (Q)
|
88% |
12597
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
7612
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
16154
191.9 IPS |
|
|
Face Detection (Q)
|
100% |
25869
307.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17542
135.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
32781
253.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
39670
308.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50525
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67541
86.8 IPS |
|
|
Style Transfer (Q)
|
98% |
177988
229.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8323
307.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15943
588.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24166
894.9 IPS |
|
|
Text Classification (SP)
|
71% |
1281
1.85 KIPS |
|
|
Text Classification (HP)
|
71% |
2617
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2783
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2948
50.8 IPS |
|
|
Machine Translation (HP)
|
96% |
4127
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4275
73.6 IPS |
