Micro-Star International Co., Ltd. Prestige 13 AI+ Ukiyoe Edition A2VMG
Geekbench AI Score
1579
Single Precision Score
722
Half Precision Score
3292
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | October 19 2025 06:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
99% |
4453
830.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6704
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4703
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2553
2.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
12248
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (Q)
|
86% |
4490
360.9 IPS |
|
|
Face Detection (SP)
|
100% |
5954
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7689
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1625
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12022
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9642
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
3017
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
4574
5.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
564
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
126
167.9 IPS |
|
|
Text Classification (HP)
|
100% |
84
112.3 IPS |
|
|
Text Classification (Q)
|
97% |
193
258.7 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
65% |
1983
39.8 IPS |
