Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
6335
Single Precision Score
2415
Half Precision Score
9519
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 12:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG |
| 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% |
5500
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (Q)
|
99% |
9171
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4849
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14724
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7739
9.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
45866
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
4443
352.4 IPS |
|
|
Object Detection (HP)
|
100% |
1046
83.0 IPS |
|
|
Object Detection (Q)
|
86% |
11076
890.2 IPS |
|
|
Face Detection (SP)
|
100% |
10789
128.2 IPS |
|
|
Face Detection (HP)
|
100% |
2364
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
13000
155.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14311
110.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3369
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23162
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30589
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20991
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19958
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4501
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6274
232.3 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4026
80.9 IPS |
