Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
28656
Single Precision Score
46910
Half Precision Score
22774
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ninjadeathgod |
| Upload Date | November 11 2025 02:03 AM |
| Views | 2 |
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% |
10040
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
18269
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10269
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21894
354.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31982
518.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19969
324.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
168406
196.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
475523
554.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
152681
178.8 IPS |
|
|
Object Detection (SP)
|
100% |
13915
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
22295
1.77 KIPS |
|
|
Object Detection (Q)
|
86% |
12011
965.0 IPS |
|
|
Face Detection (SP)
|
100% |
41449
492.5 IPS |
|
|
Face Detection (HP)
|
100% |
58995
701.0 IPS |
|
|
Face Detection (Q)
|
97% |
35701
425.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
72297
557.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
135945
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56037
447.6 IPS |
|
|
Style Transfer (SP)
|
100% |
260719
335.2 IPS |
|
|
Style Transfer (HP)
|
100% |
526490
676.8 IPS |
|
|
Style Transfer (Q)
|
98% |
230275
296.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41262
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67290
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33485
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3615
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4630
6.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2222
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6222
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6333
109.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2912
54.6 IPS |
