Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG
Geekbench AI Score
2189
Single Precision Score
1108
Half Precision Score
4230
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 09:34 AM |
| Views | 3 |
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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.1 IPS |
|
|
Image Classification (Q)
|
99% |
3905
728.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2412
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
11527
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
3276
263.3 IPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
6081
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3566
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1425
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6153
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6786
8.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4895
6.29 IPS |
|
|
Style Transfer (Q)
|
98% |
12911
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2762
102.3 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.1 IPS |
|
|
Text Classification (Q)
|
97% |
1510
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2560
51.4 IPS |
