Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
6908
Single Precision Score
2443
Half Precision Score
11003
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 10:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
5437
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
826
153.5 IPS |
|
|
Image Classification (Q)
|
99% |
9893
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3065
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16373
266.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14896
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7833
9.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
47358
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5034
399.3 IPS |
|
|
Object Detection (HP)
|
100% |
1100
87.2 IPS |
|
|
Object Detection (Q)
|
86% |
10886
874.9 IPS |
|
|
Face Detection (SP)
|
100% |
15069
179.1 IPS |
|
|
Face Detection (HP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
12846
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15450
119.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3339
25.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24299
193.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31279
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19667
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26165
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3394
125.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6488
240.3 IPS |
|
|
Text Classification (SP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3635
73.0 IPS |
