Alienware Alienware Aurora ACT1250
Geekbench AI Score
10187
Single Precision Score
11337
Half Precision Score
17725
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
6597
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7938
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
11223
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8797
142.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4775
77.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13844
224.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15069
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16069
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33274
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
6562
520.5 IPS |
|
|
Object Detection (HP)
|
100% |
8367
663.7 IPS |
|
|
Object Detection (Q)
|
88% |
11941
957.2 IPS |
|
|
Face Detection (SP)
|
100% |
17563
208.7 IPS |
|
|
Face Detection (HP)
|
100% |
23674
281.3 IPS |
|
|
Face Detection (Q)
|
100% |
32278
383.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15229
117.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19745
152.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33750
262.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43896
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45384
58.3 IPS |
|
|
Style Transfer (Q)
|
98% |
95356
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9274
342.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18551
687.0 IPS |
|
|
Text Classification (SP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6043
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7871
135.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4258
73.3 IPS |
