Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
12541
Single Precision Score
23060
Half Precision Score
9390
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 07:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4850
902.0 IPS |
|
|
Image Classification (HP)
|
100% |
8598
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
4240
788.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10741
174.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18662
302.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9389
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
64164
74.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
182209
212.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
56562
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
6298
499.6 IPS |
|
|
Object Detection (HP)
|
100% |
11505
912.5 IPS |
|
|
Object Detection (Q)
|
86% |
5390
433.0 IPS |
|
|
Face Detection (SP)
|
100% |
19915
236.6 IPS |
|
|
Face Detection (HP)
|
100% |
32430
385.3 IPS |
|
|
Face Detection (Q)
|
97% |
16635
198.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28279
217.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53557
412.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
22228
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
100187
128.8 IPS |
|
|
Style Transfer (HP)
|
100% |
347711
447.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85775
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16311
602.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29341
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12544
464.5 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (Q)
|
97% |
897
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3264
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1231
23.1 IPS |
