Alienware Alienware 18 Area-51 AA18250
Geekbench AI Score
4953
Single Precision Score
1914
Half Precision Score
5985
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | francob |
| Upload Date | October 22 2025 11:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware 18 Area-51 AA18250 |
| Motherboard | Alienware 0KH8YH |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
4830
900.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4549
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12858
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
44357
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
3305
262.1 IPS |
|
|
Object Detection (HP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (Q)
|
88% |
2748
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
5368
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
1872
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
5773
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12458
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2696
20.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
9832
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30713
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17678
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24970
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3838
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1527
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2651
59.1 IPS |
