Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
8876
Single Precision Score
9203
Half Precision Score
16131
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:03 AM |
| Views | 5 |
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 A2XWIG |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5935
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6666
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9996
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7796
126.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12202
197.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13707
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13661
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30796
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
5505
436.7 IPS |
|
|
Object Detection (HP)
|
100% |
6904
547.6 IPS |
|
|
Object Detection (Q)
|
88% |
11449
917.8 IPS |
|
|
Face Detection (SP)
|
100% |
14883
176.8 IPS |
|
|
Face Detection (HP)
|
100% |
19557
232.4 IPS |
|
|
Face Detection (Q)
|
100% |
30236
359.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13838
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16617
128.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
30639
238.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39864
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25659
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92156
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8610
317.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8729
322.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17612
652.2 IPS |
|
|
Text Classification (SP)
|
100% |
4093
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6078
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6908
119.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3036
52.3 IPS |
