Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
6641
Single Precision Score
2439
Half Precision Score
10783
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:18 AM |
| Views | 5 |
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% |
5458
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
99% |
9531
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16090
261.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14821
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7684
8.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
42749
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (HP)
|
100% |
1109
88.0 IPS |
|
|
Object Detection (Q)
|
86% |
11636
935.2 IPS |
|
|
Face Detection (SP)
|
100% |
14517
172.5 IPS |
|
|
Face Detection (HP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
12946
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14459
111.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3251
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23061
184.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30447
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20441
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26981
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4210
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3440
127.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5916
219.1 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2961
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4002
80.4 IPS |
