Micro-Star International Co., Ltd. VenturePro 17 AI A2HVEG
Geekbench AI Score
7014
Single Precision Score
10991
Half Precision Score
4761
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | November 15 2025 11:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. VenturePro 17 AI A2HVEG |
| Motherboard | Micro-Star International Co., Ltd. MS-17U1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4911
913.3 IPS |
|
|
Image Classification (HP)
|
100% |
6053
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
3628
676.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4752
77.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9243
149.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3149
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13526
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24888
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11890
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
5451
432.3 IPS |
|
|
Object Detection (HP)
|
100% |
6788
538.4 IPS |
|
|
Object Detection (Q)
|
84% |
3693
298.1 IPS |
|
|
Face Detection (SP)
|
100% |
6475
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
11372
135.1 IPS |
|
|
Face Detection (Q)
|
97% |
4710
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15833
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29552
227.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11875
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45675
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89161
114.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34303
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7751
286.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16428
606.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5237
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
1646
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
97% |
993
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2805
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2969
51.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1196
22.4 IPS |
