Alienware Alienware Aurora ACT1250
Geekbench AI Score
8771
Single Precision Score
10464
Half Precision Score
16302
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 07:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5354
995.7 IPS |
|
|
Image Classification (HP)
|
100% |
7282
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10526
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7973
129.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3591
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14279
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35292
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75613
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
5048
400.4 IPS |
|
|
Object Detection (HP)
|
100% |
6244
495.3 IPS |
|
|
Object Detection (Q)
|
88% |
10667
855.2 IPS |
|
|
Face Detection (SP)
|
100% |
14897
177.0 IPS |
|
|
Face Detection (HP)
|
100% |
18283
217.2 IPS |
|
|
Face Detection (Q)
|
100% |
34334
408.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13996
107.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18801
144.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35192
273.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39401
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54904
70.6 IPS |
|
|
Style Transfer (Q)
|
98% |
99992
128.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7781
287.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16422
606.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32152
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2264
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4944
85.2 IPS |
