Alienware Alienware Aurora ACT1250
Geekbench AI Score
36407
Single Precision Score
60713
Half Precision Score
27456
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14134
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
20716
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
12435
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27576
447.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
38756
628.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24683
401.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
233066
271.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
721634
842.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
200018
234.3 IPS |
|
|
Object Detection (SP)
|
100% |
18889
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
27582
2.19 KIPS |
|
|
Object Detection (Q)
|
86% |
16203
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
55335
657.5 IPS |
|
|
Face Detection (HP)
|
100% |
79532
945.0 IPS |
|
|
Face Detection (Q)
|
97% |
44858
534.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87194
671.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
168299
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65685
524.5 IPS |
|
|
Style Transfer (SP)
|
100% |
336620
432.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1111459
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
290355
374.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53102
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83482
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40749
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2330
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6955
119.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6948
119.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3013
56.5 IPS |
