Alienware Alienware Aurora ACT1250
Geekbench ML Score
26504
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 10:45 AM |
| Views | 2 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12683
2.37 KIPS |
|
|
Image Classification (F16)
|
100% |
12120
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
10707
2.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19771
330.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
19758
330.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
18079
302.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
217440
263.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
218921
265.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
184737
223.7 IPS |
|
|
Object Detection (F32)
|
100% |
8592
641.5 IPS |
|
|
Object Detection (F16)
|
100% |
8797
656.8 IPS |
|
|
Object Detection (I8)
|
50% |
8358
624.0 IPS |
|
|
Face Detection (F32)
|
100% |
41340
491.5 IPS |
|
|
Face Detection (F16)
|
100% |
43017
511.5 IPS |
|
|
Face Detection (I8)
|
89% |
35310
419.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
79440
616.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
77448
600.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
61188
474.5 IPS |
|
|
Style Transfer (F32)
|
100% |
294597
387.5 IPS |
|
|
Style Transfer (F16)
|
100% |
313802
412.8 IPS |
|
|
Style Transfer (I8)
|
98% |
279485
367.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
48404
1.73 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
48174
1.72 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38161
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
3071
4.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3066
4.41 KIPS |
|
|
Text Classification (I8)
|
98% |
2037
2.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
5074
93.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5065
93.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2894
53.3 IPS |
