Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG
Geekbench AI Score
1699
Single Precision Score
911
Half Precision Score
3679
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 09:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-13Q3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.5 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
99% |
2961
552.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1874
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1818
2.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
8228
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (HP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (Q)
|
86% |
2838
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
5026
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2963
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1279
9.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
7303
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5418
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4635
5.96 IPS |
|
|
Style Transfer (Q)
|
98% |
12489
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2388
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
524
699.3 IPS |
|
|
Text Classification (Q)
|
97% |
1331
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2411
48.4 IPS |
