Micro-Star International Co., Ltd. Prestige 13 AI Evo A1MG
Geekbench AI Score
2218
Single Precision Score
982
Half Precision Score
4444
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 13 2026 03:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 135H |
| 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 5 135H |
| 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% |
1647
306.3 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (Q)
|
99% |
3668
684.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5219
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3726
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2807
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
13598
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
86% |
3421
275.0 IPS |
|
|
Face Detection (SP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5205
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4433
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1444
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9340
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8926
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6262
8.05 IPS |
|
|
Style Transfer (Q)
|
98% |
13869
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3228
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.3 IPS |
|
|
Text Classification (Q)
|
97% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (Q)
|
65% |
1682
33.8 IPS |
