Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
4278
Single Precision Score
6086
Half Precision Score
2921
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | punkouter25 |
| Upload Date | August 06 2025 05:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| 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% |
2582
480.1 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
99% |
1819
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3131
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5126
83.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2171
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8172
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
16121
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
7196
8.43 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
4237
336.1 IPS |
|
|
Object Detection (Q)
|
86% |
1956
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
5529
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
8659
102.9 IPS |
|
|
Face Detection (Q)
|
97% |
3538
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8758
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14826
114.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6411
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25923
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39747
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19960
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4502
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7029
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3132
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
1177
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
702
936.7 IPS |
|
|
Text Classification (Q)
|
97% |
673
901.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2134
36.9 IPS |
|
|
Machine Translation (Q)
|
70% |
854
16.0 IPS |
