Micro-Star International Co., Ltd. Prestige 13Evo A13M
Geekbench AI Score
2127
Single Precision Score
851
Half Precision Score
3613
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 04:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 13Evo A13M |
| Motherboard | Micro-Star International Co., Ltd. MS-13Q1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1590
295.8 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.1 IPS |
|
|
Image Classification (Q)
|
99% |
2712
505.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
1747
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
11087
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
86% |
3372
271.0 IPS |
|
|
Face Detection (SP)
|
100% |
4225
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
5392
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4569
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1256
9.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
7846
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8073
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5610
7.21 IPS |
|
|
Style Transfer (Q)
|
98% |
13550
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2140
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
451
601.8 IPS |
|
|
Text Classification (Q)
|
97% |
1115
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
65% |
1568
31.5 IPS |
