Micro-Star International Co., Ltd. Vector 17 HX AI A2XWJG
Geekbench AI Score
6133
Single Precision Score
2343
Half Precision Score
10431
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 01:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 17 HX AI A2XWJG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S3 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4813
895.0 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.3 IPS |
|
|
Image Classification (Q)
|
99% |
8383
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14860
241.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11099
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6650
7.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
40641
47.7 IPS |
|
|
Object Detection (SP)
|
100% |
4525
358.9 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.1 IPS |
|
|
Object Detection (Q)
|
86% |
10547
847.7 IPS |
|
|
Face Detection (SP)
|
100% |
13969
166.0 IPS |
|
|
Face Detection (HP)
|
100% |
2497
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
12385
147.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14202
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3198
24.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21790
173.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25873
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17860
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27001
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3026
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6600
244.4 IPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1510
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1373
23.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3936
79.1 IPS |
