Micro-Star International Co., Ltd. Prestige 13 AI+ Evo A2VMG
Geekbench AI Score
7936
Single Precision Score
14487
Half Precision Score
5378
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 02:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4005
744.9 IPS |
|
|
Image Classification (HP)
|
100% |
5280
981.9 IPS |
|
|
Image Classification (Q)
|
100% |
2889
537.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7411
120.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15272
247.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5256
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12528
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31402
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11103
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
4766
378.0 IPS |
|
|
Object Detection (HP)
|
100% |
9758
774.0 IPS |
|
|
Object Detection (Q)
|
88% |
4209
337.6 IPS |
|
|
Face Detection (SP)
|
100% |
10402
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
19966
237.2 IPS |
|
|
Face Detection (Q)
|
97% |
7368
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20422
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40321
310.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13108
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59038
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
192800
247.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42914
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9919
366.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18042
666.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5790
214.4 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (Q)
|
97% |
791
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1503
28.2 IPS |
