Alienware Alienware 18 Area-51 AA18250
Geekbench AI Score
6781
Single Precision Score
2319
Half Precision Score
10293
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 08:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Alienware Alienware 18 Area-51 AA18250 |
| Motherboard | Alienware 0M66RF |
| 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% |
5200
967.0 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.3 IPS |
|
|
Image Classification (Q)
|
99% |
9822
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4475
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15366
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7778
9.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
48506
56.9 IPS |
|
|
Object Detection (SP)
|
100% |
5131
407.0 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
11750
944.3 IPS |
|
|
Face Detection (SP)
|
100% |
13540
160.9 IPS |
|
|
Face Detection (HP)
|
100% |
2475
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
12917
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16646
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3303
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24437
195.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32836
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20319
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34542
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4689
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3547
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6537
242.1 IPS |
|
|
Text Classification (SP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2971
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4536
91.1 IPS |
