Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
8811
Single Precision Score
9164
Half Precision Score
16066
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 01:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6037
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6667
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10330
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7823
126.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4509
73.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12270
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14354
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13983
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29955
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
5533
438.9 IPS |
|
|
Object Detection (HP)
|
100% |
6928
549.5 IPS |
|
|
Object Detection (Q)
|
88% |
11136
892.7 IPS |
|
|
Face Detection (SP)
|
100% |
14928
177.4 IPS |
|
|
Face Detection (HP)
|
100% |
19971
237.3 IPS |
|
|
Face Detection (Q)
|
100% |
29128
346.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13978
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14749
113.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
29162
226.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26990
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25640
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
86863
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8769
323.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8608
317.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16525
612.0 IPS |
|
|
Text Classification (SP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
5805
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7191
123.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3829
66.0 IPS |
