Alienware Alienware 18 Area-51 AA18250
Geekbench AI Score
32656
Single Precision Score
54200
Half Precision Score
25233
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DrChandra |
| Upload Date | February 23 2026 02:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware 18 Area-51 AA18250 |
| Motherboard | Alienware 0D469V |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12498
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
18836
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
11077
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24343
394.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
33828
548.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21938
356.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
213867
249.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
638857
745.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
181603
212.7 IPS |
|
|
Object Detection (SP)
|
100% |
16620
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
24284
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
14527
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
48030
570.7 IPS |
|
|
Face Detection (HP)
|
100% |
62522
742.9 IPS |
|
|
Face Detection (Q)
|
97% |
40739
485.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
79233
610.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
157031
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62595
499.9 IPS |
|
|
Style Transfer (SP)
|
100% |
304006
390.8 IPS |
|
|
Style Transfer (HP)
|
100% |
973237
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
266796
344.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47275
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77504
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36571
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3624
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4634
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2217
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6436
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6449
111.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2960
55.5 IPS |
