Alienware Alienware Aurora ACT1250
Geekbench ML Score
5983
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 10:43 AM |
| Views | 4 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2954
552.7 IPS |
|
|
Image Classification (F16)
|
100% |
2949
551.9 IPS |
|
|
Image Classification (I8)
|
99% |
5224
977.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2362
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2369
39.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4013
67.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
15871
19.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
15672
19.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
50649
61.3 IPS |
|
|
Object Detection (F32)
|
100% |
2710
202.3 IPS |
|
|
Object Detection (F16)
|
100% |
2898
216.4 IPS |
|
|
Object Detection (I8)
|
62% |
2079
155.2 IPS |
|
|
Face Detection (F32)
|
100% |
5561
66.1 IPS |
|
|
Face Detection (F16)
|
100% |
5555
66.1 IPS |
|
|
Face Detection (I8)
|
89% |
5768
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
13354
103.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13340
103.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
21850
169.4 IPS |
|
|
Style Transfer (F32)
|
100% |
34221
45.0 IPS |
|
|
Style Transfer (F16)
|
100% |
34911
45.9 IPS |
|
|
Style Transfer (I8)
|
98% |
27441
36.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6251
223.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5927
211.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7296
260.6 IPS |
|
|
Text Classification (F32)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1846
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1372
1.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
2852
52.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2861
52.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4123
75.9 IPS |
