Micro-Star International Co., Ltd. Prestige 13 AI Evo A1MG
Geekbench AI Score
1661
Single Precision Score
622
Half Precision Score
2622
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 09:40 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. Prestige 13 AI Evo A1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-13Q2 |
| 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% |
1829
340.1 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
99% |
2533
472.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2407
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1839
2.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
8885
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
86% |
2798
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (Q)
|
97% |
4616
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5322
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
801
6.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
5413
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5939
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
4417
5.68 IPS |
|
|
Style Transfer (Q)
|
98% |
9384
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1535
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
533
711.5 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.2 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.6 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
65% |
1235
24.8 IPS |
