Alienware Alienware 18 Area-51 AA18250
Geekbench AI Score
32320
Single Precision Score
54636
Half Precision Score
24776
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tobyg |
| Upload Date | February 04 2026 08:32 AM |
| Views | 12 |
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% |
12609
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
19197
3.57 KIPS |
|
|
Image Classification (Q)
|
100% |
10937
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24661
399.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34635
561.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22332
363.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
208411
243.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
627835
732.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
176021
206.2 IPS |
|
|
Object Detection (SP)
|
100% |
16536
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
24400
1.94 KIPS |
|
|
Object Detection (Q)
|
86% |
14298
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
48235
573.1 IPS |
|
|
Face Detection (HP)
|
100% |
68644
815.6 IPS |
|
|
Face Detection (Q)
|
97% |
40042
477.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79654
613.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
154688
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60610
484.0 IPS |
|
|
Style Transfer (SP)
|
100% |
293797
377.7 IPS |
|
|
Style Transfer (HP)
|
100% |
964453
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
257978
332.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45982
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76894
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35908
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4676
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6320
108.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2908
54.6 IPS |
