Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
28669
Single Precision Score
48008
Half Precision Score
22615
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ninjadeathgod |
| Upload Date | November 16 2025 09:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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% |
11277
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
17212
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
10287
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20531
332.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
30270
490.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18994
308.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
169233
197.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
468235
546.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
152243
178.3 IPS |
|
|
Object Detection (SP)
|
100% |
13936
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
21566
1.71 KIPS |
|
|
Object Detection (Q)
|
86% |
12030
966.5 IPS |
|
|
Face Detection (SP)
|
100% |
41076
488.1 IPS |
|
|
Face Detection (HP)
|
100% |
58726
697.8 IPS |
|
|
Face Detection (Q)
|
97% |
35648
425.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
72237
556.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
134922
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56396
450.5 IPS |
|
|
Style Transfer (SP)
|
100% |
266451
342.5 IPS |
|
|
Style Transfer (HP)
|
100% |
832547
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
230240
296.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40815
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67984
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33061
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4489
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2203
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6033
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6141
105.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2901
54.4 IPS |
