Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
6995
Single Precision Score
2533
Half Precision Score
10916
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 04:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
5506
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
859
159.7 IPS |
|
|
Image Classification (Q)
|
99% |
10065
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3107
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14641
238.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12854
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7576
8.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
42238
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
5370
426.0 IPS |
|
|
Object Detection (HP)
|
100% |
1163
92.3 IPS |
|
|
Object Detection (Q)
|
86% |
11649
936.3 IPS |
|
|
Face Detection (SP)
|
100% |
15373
182.7 IPS |
|
|
Face Detection (HP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
14040
167.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15705
121.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3480
26.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25233
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32167
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19569
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23030
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6258
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1549
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4190
84.2 IPS |
