Alienware Alienware Aurora ACT1250
Geekbench AI Score
9838
Single Precision Score
10400
Half Precision Score
16197
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
5089
946.3 IPS |
|
|
Image Classification (HP)
|
100% |
7198
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10166
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8746
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15327
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34728
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73938
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
6530
517.9 IPS |
|
|
Object Detection (HP)
|
100% |
6263
496.8 IPS |
|
|
Object Detection (Q)
|
88% |
10611
850.7 IPS |
|
|
Face Detection (SP)
|
100% |
17654
209.8 IPS |
|
|
Face Detection (HP)
|
100% |
18123
215.3 IPS |
|
|
Face Detection (Q)
|
100% |
34150
405.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15306
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19182
147.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35631
277.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43750
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55262
71.0 IPS |
|
|
Style Transfer (Q)
|
98% |
100253
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9290
343.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16361
604.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32053
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4375
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2294
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3970
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4876
84.0 IPS |
