Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG
Geekbench AI Score
6919
Single Precision Score
2514
Half Precision Score
11057
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | August 14 2025 01:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 17 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5273
980.6 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (Q)
|
99% |
9583
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16226
263.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14446
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8007
9.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
46236
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
5308
421.1 IPS |
|
|
Object Detection (HP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
11284
906.9 IPS |
|
|
Face Detection (SP)
|
100% |
15631
185.7 IPS |
|
|
Face Detection (HP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
12761
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15720
121.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3376
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23478
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30523
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19588
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28604
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5216
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6169
228.4 IPS |
|
|
Text Classification (SP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1574
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2961
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4049
81.4 IPS |
