Alienware Alienware Aurora R16
Geekbench AI Score
5415
Single Precision Score
1787
Half Precision Score
9501
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jonbirge |
| Upload Date | July 19 2025 12:42 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4570
849.8 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
99% |
7669
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12542
203.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9874
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5024
5.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
34513
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
86% |
8025
645.0 IPS |
|
|
Face Detection (SP)
|
100% |
12780
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
1947
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
11632
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12691
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18839
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23089
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12226
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27376
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6415
237.5 IPS |
|
|
Text Classification (SP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1612
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3629
72.9 IPS |
