Alienware Alienware Aurora ACT1250
Geekbench AI Score
5630
Single Precision Score
9829
Half Precision Score
15215
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aIpaca |
| Upload Date | March 19 2025 06:00 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3436
639.1 IPS |
|
|
Image Classification (HP)
|
100% |
7084
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9945
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4826
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3982
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7003
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
34270
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75029
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
2975
236.0 IPS |
|
|
Object Detection (HP)
|
100% |
6089
483.0 IPS |
|
|
Object Detection (Q)
|
87% |
10172
816.4 IPS |
|
|
Face Detection (SP)
|
100% |
8310
98.7 IPS |
|
|
Face Detection (HP)
|
100% |
16031
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
27962
332.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7743
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17269
133.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
33101
257.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17164
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50278
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93369
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14294
527.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26367
976.5 IPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2158
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4474
77.1 IPS |
