Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG
Geekbench AI Score
6643
Single Precision Score
10992
Half Precision Score
4566
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kochitora |
| Upload Date | August 13 2025 09:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
2847
529.5 IPS |
|
|
Image Classification (HP)
|
100% |
3782
703.3 IPS |
|
|
Image Classification (Q)
|
100% |
2348
436.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7042
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13568
219.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4875
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21358
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
80183
93.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17353
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
4349
345.0 IPS |
|
|
Object Detection (HP)
|
100% |
6261
496.6 IPS |
|
|
Object Detection (Q)
|
88% |
3485
279.5 IPS |
|
|
Face Detection (SP)
|
100% |
9462
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
15952
189.5 IPS |
|
|
Face Detection (Q)
|
97% |
6174
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19235
148.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35126
270.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13309
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49613
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85721
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38488
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8816
325.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11258
415.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4690
173.7 IPS |
|
|
Text Classification (SP)
|
100% |
679
905.8 IPS |
|
|
Text Classification (HP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
487
652.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (Q)
|
70% |
788
14.8 IPS |
