Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
3512
Single Precision Score
1518
Half Precision Score
6189
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ninjadeathgod |
| Upload Date | March 23 2026 04:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1759
327.0 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
99% |
5050
942.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5911
96.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8224
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4837
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
27237
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
86% |
4845
389.4 IPS |
|
|
Face Detection (SP)
|
100% |
5942
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
9903
118.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6600
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2368
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9503
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19719
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8728
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19148
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3629
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
650
868.0 IPS |
|
|
Text Classification (Q)
|
97% |
1155
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2774
55.7 IPS |
