Alienware Alienware 16 Aurora AC16250
Geekbench AI Score
3809
Single Precision Score
1605
Half Precision Score
7314
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | djp255 |
| Upload Date | January 16 2026 11:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 7 240H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware 16 Aurora AC16250 |
| Motherboard | Alienware 0186KF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 7 240H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3061
569.3 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.2 IPS |
|
|
Image Classification (Q)
|
99% |
5923
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7636
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5567
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4012
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
19823
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
6032
484.8 IPS |
|
|
Face Detection (SP)
|
100% |
7619
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
9031
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7358
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2242
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14398
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13814
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9743
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22569
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5491
203.3 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1535
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3279
65.9 IPS |
