Micro-Star International Co., Ltd. Modern 15 H AI C1MG
Geekbench AI Score
2266
Single Precision Score
982
Half Precision Score
2915
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 08:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 15 H AI C1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-15H5 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
891
165.8 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
1802
336.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3513
4.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
16944
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
88% |
1486
119.1 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
3342
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5104
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1237
9.53 IPS |
|
|
Depth Estimation (Q)
|
77% |
5435
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11190
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7158
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
14957
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2955
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
480
640.1 IPS |
|
|
Text Classification (Q)
|
97% |
445
595.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.24 IPS |
|
|
Machine Translation (Q)
|
60% |
1759
39.2 IPS |
