Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
5390
Single Precision Score
8777
Half Precision Score
13220
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:27 AM |
| Views | 6 |
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% |
3761
699.4 IPS |
|
|
Image Classification (HP)
|
100% |
5796
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7627
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3776
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8442
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10849
175.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11507
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10700
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
34722
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3489
276.8 IPS |
|
|
Object Detection (HP)
|
100% |
5572
442.0 IPS |
|
|
Object Detection (Q)
|
88% |
9386
752.2 IPS |
|
|
Face Detection (SP)
|
100% |
7576
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
15256
181.3 IPS |
|
|
Face Detection (Q)
|
100% |
24571
292.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12095
93.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21310
164.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
24496
190.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28422
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38142
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80472
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9034
333.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14046
520.2 IPS |
|
|
Text Classification (SP)
|
71% |
1436
2.08 KIPS |
|
|
Text Classification (HP)
|
71% |
2337
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
2476
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3553
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3590
62.0 IPS |
