Alienware Alienware Aurora ACT1250
Geekbench AI Score
9362
Single Precision Score
9330
Half Precision Score
13949
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 10:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Balanced |
| 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% |
6722
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6721
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9243
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3609
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34029
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34003
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73666
86.3 IPS |
|
|
Object Detection (SP)
|
98% |
5681
452.1 IPS |
|
|
Object Detection (HP)
|
100% |
5687
451.1 IPS |
|
|
Object Detection (Q)
|
87% |
9024
724.3 IPS |
|
|
Face Detection (SP)
|
100% |
15608
185.5 IPS |
|
|
Face Detection (HP)
|
100% |
15285
181.6 IPS |
|
|
Face Detection (Q)
|
100% |
25248
300.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
18450
142.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18454
142.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
32687
258.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51285
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51334
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
94232
121.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13960
515.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13926
514.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24614
911.5 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (Q)
|
93% |
3051
52.8 IPS |
