Alienware Alienware Aurora R16
Geekbench AI Score
35023
Single Precision Score
47972
Half Precision Score
25898
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | March 17 2025 05:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Free i9 performance |
| 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% |
14377
2.67 KIPS |
|
|
Image Classification (HP)
|
99% |
19469
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
12183
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25417
412.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
32093
520.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16027
260.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
279347
326.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
500315
583.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
255622
299.5 IPS |
|
|
Object Detection (SP)
|
100% |
14870
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
18649
1.48 KIPS |
|
|
Object Detection (Q)
|
86% |
12985
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
38795
461.0 IPS |
|
|
Face Detection (HP)
|
100% |
46600
553.7 IPS |
|
|
Face Detection (Q)
|
97% |
33637
401.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
82191
633.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
144300
1.11 KIPS |
|
|
Depth Estimation (Q)
|
77% |
63942
511.4 IPS |
|
|
Style Transfer (SP)
|
100% |
492382
633.0 IPS |
|
|
Style Transfer (HP)
|
100% |
959990
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
432443
557.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53366
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65316
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39401
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4723
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2194
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5750
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5561
95.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2605
48.9 IPS |
