Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG
Geekbench AI Score
3069
Single Precision Score
30218
Half Precision Score
50930
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 02:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-13Q3 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (HP)
|
100% |
15564
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
22294
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19679
319.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33550
543.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3335
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
114625
133.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
254743
298.4 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
17691
1.40 KIPS |
|
|
Object Detection (Q)
|
88% |
27737
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5690
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
43689
519.1 IPS |
|
|
Face Detection (Q)
|
100% |
94720
1.13 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4719
36.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
84030
651.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
162840
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
9789
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244906
314.8 IPS |
|
|
Style Transfer (Q)
|
98% |
420404
542.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41453
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81923
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2890
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8723
150.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10513
181.1 IPS |
