Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
6745
Single Precision Score
2387
Half Precision Score
10970
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 05:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| 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% |
5335
992.1 IPS |
|
|
Image Classification (HP)
|
100% |
822
152.9 IPS |
|
|
Image Classification (Q)
|
99% |
9376
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15958
259.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14787
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7761
9.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
47862
56.1 IPS |
|
|
Object Detection (SP)
|
100% |
4954
392.9 IPS |
|
|
Object Detection (HP)
|
100% |
1066
84.6 IPS |
|
|
Object Detection (Q)
|
86% |
11379
914.5 IPS |
|
|
Face Detection (SP)
|
100% |
15068
179.0 IPS |
|
|
Face Detection (HP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
12364
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15612
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3177
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
23255
185.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32565
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18611
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28036
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3164
116.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6733
249.3 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1466
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3893
78.2 IPS |
