Micro-Star International Co., Ltd. VenturePro 17 AI A2HVEG
Geekbench AI Score
9272
Single Precision Score
22250
Half Precision Score
29029
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | November 15 2025 11:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) (iGPU) |
| 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% |
6335
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
12027
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
16177
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7151
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19056
308.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23320
378.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21459
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
93302
108.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
185133
216.7 IPS |
|
|
Object Detection (SP)
|
100% |
6160
488.6 IPS |
|
|
Object Detection (HP)
|
100% |
13590
1.08 KIPS |
|
|
Object Detection (Q)
|
88% |
17633
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
9178
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
22556
268.0 IPS |
|
|
Face Detection (Q)
|
100% |
36351
431.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19957
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50392
388.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
64878
504.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53729
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
137829
177.2 IPS |
|
|
Style Transfer (Q)
|
98% |
259134
334.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9514
351.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29297
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36570
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
92% |
2703
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5530
95.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5713
98.4 IPS |
