Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
5564
Single Precision Score
2007
Half Precision Score
8822
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | punkouter25 |
| Upload Date | May 06 2025 05:02 PM |
| Views | 7 |
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% |
4387
815.8 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
99% |
8306
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4335
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11605
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6247
7.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
38430
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
4217
334.5 IPS |
|
|
Object Detection (HP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
86% |
9809
788.3 IPS |
|
|
Face Detection (SP)
|
100% |
11339
134.7 IPS |
|
|
Face Detection (HP)
|
100% |
2188
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
11203
133.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12527
96.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2953
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
20571
164.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25552
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15823
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28347
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5083
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1619
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3917
78.7 IPS |
