Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
5257
Single Precision Score
1930
Half Precision Score
9143
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | punkouter25 |
| Upload Date | August 06 2025 05:23 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 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% |
4223
785.3 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.8 IPS |
|
|
Image Classification (Q)
|
99% |
7608
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13411
218.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6212
7.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
35475
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
4088
324.3 IPS |
|
|
Object Detection (HP)
|
100% |
888
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
9022
725.0 IPS |
|
|
Face Detection (SP)
|
100% |
12363
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
1946
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
10294
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12354
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2726
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20666
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24383
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15218
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27711
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3308
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2294
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5551
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
742
989.9 IPS |
|
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3049
61.3 IPS |
