Alienware Aurora ACT1250 Alienware Alienware Aurora ACT1250
Geekbench AI Score
34892
Single Precision Score
58150
Half Precision Score
26620
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | JootecFromMars |
| Upload Date | November 24 2025 09:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13179
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
19877
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
11621
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26094
423.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36606
593.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23840
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
231591
270.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
702660
819.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
199058
233.2 IPS |
|
|
Object Detection (SP)
|
100% |
17616
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
25931
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
15233
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
52804
627.4 IPS |
|
|
Face Detection (HP)
|
100% |
76371
907.5 IPS |
|
|
Face Detection (Q)
|
97% |
44069
525.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
87104
671.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
165534
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64894
518.2 IPS |
|
|
Style Transfer (SP)
|
100% |
334389
429.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1059346
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
287981
371.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51088
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77800
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39482
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4892
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2248
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6537
112.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6542
112.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2910
54.6 IPS |
