Micro-Star International Co., Ltd. Vector 17 HX AI A2XWJG
Geekbench AI Score
8089
Single Precision Score
8068
Half Precision Score
15191
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 02:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
5159
959.5 IPS |
|
|
Image Classification (HP)
|
100% |
5650
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
9428
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6863
111.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4094
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11872
192.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11428
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10348
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27979
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
4972
394.4 IPS |
|
|
Object Detection (HP)
|
100% |
5870
465.6 IPS |
|
|
Object Detection (Q)
|
88% |
10524
843.6 IPS |
|
|
Face Detection (SP)
|
100% |
14957
177.7 IPS |
|
|
Face Detection (HP)
|
100% |
17085
203.0 IPS |
|
|
Face Detection (Q)
|
100% |
27210
323.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12565
96.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13858
106.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
27082
210.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32391
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24940
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
82687
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6685
246.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15293
566.4 IPS |
|
|
Text Classification (SP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
92% |
6037
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6887
118.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3531
60.8 IPS |
