Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG
Geekbench AI Score
3065
Single Precision Score
2153
Half Precision Score
7980
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kochitora |
| Upload Date | August 13 2025 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1831
340.6 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
100% |
5175
962.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4921
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
12520
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (Q)
|
88% |
5362
429.8 IPS |
|
|
Face Detection (SP)
|
100% |
5325
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
4129
49.1 IPS |
|
|
Face Detection (Q)
|
100% |
12471
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4531
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3142
24.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
13583
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9587
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6525
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
34892
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7435
275.4 IPS |
|
|
Text Classification (SP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4404
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3168
54.6 IPS |
