Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
8962
Single Precision Score
9859
Half Precision Score
15143
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 01:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
5960
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
7050
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9855
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8104
131.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14347
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34528
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74846
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
5009
397.3 IPS |
|
|
Object Detection (HP)
|
100% |
6123
485.7 IPS |
|
|
Object Detection (Q)
|
87% |
9990
801.8 IPS |
|
|
Face Detection (SP)
|
100% |
15146
180.0 IPS |
|
|
Face Detection (HP)
|
100% |
16540
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
31538
374.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14038
108.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18062
139.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
33324
259.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39230
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50205
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
92697
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7345
271.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14331
529.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24131
893.7 IPS |
|
|
Text Classification (SP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2077
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3984
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4479
77.2 IPS |
