Alienware Alienware 16 Aurora AC16250
Geekbench ML Score
3938
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2025 05:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Alienware Alienware 16 Aurora AC16250 |
| Motherboard | Alienware 0N7JMW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 9 270H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1988
371.9 IPS |
|
|
Image Classification (F16)
|
100% |
2015
377.0 IPS |
|
|
Image Classification (I8)
|
99% |
3630
679.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1814
30.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1904
31.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3416
57.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6403
7.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
6341
7.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
22899
27.7 IPS |
|
|
Object Detection (F32)
|
100% |
1966
146.8 IPS |
|
|
Object Detection (F16)
|
100% |
1988
148.4 IPS |
|
|
Object Detection (I8)
|
62% |
1862
139.0 IPS |
|
|
Face Detection (F32)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (F16)
|
100% |
4023
47.8 IPS |
|
|
Face Detection (I8)
|
89% |
4524
53.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7186
55.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7484
58.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
14286
110.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15077
19.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15628
20.6 IPS |
|
|
Style Transfer (I8)
|
98% |
22325
29.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3569
127.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3323
118.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4818
172.1 IPS |
|
|
Text Classification (F32)
|
100% |
1541
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1488
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1311
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
2013
37.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1963
36.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3094
56.9 IPS |
