Micro-Star International Co., Ltd. VenturePro 17 AI A2HVEG
Geekbench AI Score
3177
Single Precision Score
1434
Half Precision Score
6274
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | November 15 2025 11:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| 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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (Q)
|
99% |
5291
986.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7337
119.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5115
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3706
4.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
17754
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
5481
440.5 IPS |
|
|
Face Detection (SP)
|
100% |
6605
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
7531
89.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6108
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12399
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12322
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8938
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19109
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4286
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.3 IPS |
|
|
Text Classification (Q)
|
97% |
1149
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2849
57.3 IPS |
