Alienware Alienware 16 Aurora AC16250
Geekbench AI Score
3660
Single Precision Score
1490
Half Precision Score
7130
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 01:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 7 240H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Alienware Alienware 16 Aurora AC16250 |
| Motherboard | Alienware 0RW6G1 |
| Power Plan | Utilisation normale |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2887
536.9 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
99% |
5881
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7156
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3136
3.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
17112
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
815
64.7 IPS |
|
|
Object Detection (Q)
|
86% |
6594
529.9 IPS |
|
|
Face Detection (SP)
|
100% |
7534
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
9137
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7471
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2275
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14364
114.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13742
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9675
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21441
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1605
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3179
63.9 IPS |
