Alienware Alienware 16 Area-51 AA16250
Geekbench AI Score
28872
Single Precision Score
48968
Half Precision Score
22285
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware 16 Area-51 AA16250 |
| Motherboard | Alienware 06R56G |
| 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% |
11602
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
18150
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10346
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21916
355.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32088
520.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19512
317.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
164093
191.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
452227
527.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
147496
172.8 IPS |
|
|
Object Detection (SP)
|
100% |
14450
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
24167
1.92 KIPS |
|
|
Object Detection (Q)
|
86% |
12110
972.9 IPS |
|
|
Face Detection (SP)
|
100% |
41962
498.6 IPS |
|
|
Face Detection (HP)
|
100% |
60875
723.3 IPS |
|
|
Face Detection (Q)
|
97% |
35520
423.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
70949
546.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
126558
975.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
54284
433.6 IPS |
|
|
Style Transfer (SP)
|
100% |
259904
334.1 IPS |
|
|
Style Transfer (HP)
|
100% |
860974
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
220515
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41156
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71118
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32360
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4261
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2136
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6115
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6197
106.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2851
53.5 IPS |
