Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
5347
Single Precision Score
8851
Half Precision Score
13182
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3720
691.8 IPS |
|
|
Image Classification (HP)
|
100% |
5878
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7726
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3519
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8442
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10055
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11011
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
10718
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
34761
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3485
276.4 IPS |
|
|
Object Detection (HP)
|
100% |
5581
442.7 IPS |
|
|
Object Detection (Q)
|
88% |
9393
752.8 IPS |
|
|
Face Detection (SP)
|
100% |
7516
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
15093
179.3 IPS |
|
|
Face Detection (Q)
|
100% |
24306
288.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11789
90.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
21374
165.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24548
190.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28430
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38022
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
80456
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9032
333.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13932
515.9 IPS |
|
|
Text Classification (SP)
|
71% |
1545
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2487
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2582
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3612
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3617
62.5 IPS |
