Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench AI Score
25636
Single Precision Score
42495
Half Precision Score
19809
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 02:53 PM |
| Views | 25 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10192
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
16261
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
9041
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17336
281.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23343
378.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15760
256.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
154876
180.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
414656
483.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
134037
157.2 IPS |
|
|
Object Detection (SP)
|
100% |
13038
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
21445
1.70 KIPS |
|
|
Object Detection (Q)
|
89% |
11349
908.7 IPS |
|
|
Face Detection (SP)
|
100% |
33436
397.3 IPS |
|
|
Face Detection (HP)
|
100% |
46322
550.4 IPS |
|
|
Face Detection (Q)
|
97% |
28439
339.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68071
524.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
115425
889.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
52089
421.6 IPS |
|
|
Style Transfer (SP)
|
100% |
248270
319.2 IPS |
|
|
Style Transfer (HP)
|
100% |
795219
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
213740
275.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39341
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67022
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31132
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4252
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2039
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2136
47.6 IPS |
