Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
6671
Single Precision Score
2421
Half Precision Score
10876
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ninjadeathgod |
| Upload Date | November 11 2025 01:59 AM |
| Views | 2 |
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 | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5441
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (Q)
|
99% |
9545
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15957
259.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14950
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7467
8.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
46520
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (HP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (Q)
|
86% |
10028
805.9 IPS |
|
|
Face Detection (SP)
|
100% |
13542
160.9 IPS |
|
|
Face Detection (HP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
13288
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13837
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3335
25.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22819
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32952
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19444
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23447
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3290
121.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7060
261.4 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4034
81.1 IPS |
