Micro-Star International Co., Ltd. Prestige 13 AI+ Ukiyoe Edition A2VMG
Geekbench AI Score
1142
Single Precision Score
748
Half Precision Score
2459
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 19 2025 06:34 PM |
| Views | 7 |
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+ Ukiyoe Edition 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% |
1767
328.6 IPS |
|
|
Image Classification (HP)
|
100% |
1059
196.9 IPS |
|
|
Image Classification (Q)
|
100% |
1413
262.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
1542
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1366
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
659
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
4023
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
88% |
1304
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
1578
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
100% |
3585
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1453
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1236
9.53 IPS |
|
|
Depth Estimation (Q)
|
89% |
4763
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3833
4.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2357
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
11773
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2145
79.4 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
415
553.9 IPS |
|
|
Text Classification (Q)
|
92% |
1459
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1126
19.4 IPS |
