Alienware Alienware Aurora R16
Geekbench AI Score
40875
Single Precision Score
56601
Half Precision Score
30088
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 12:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900F |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14392
2.68 KIPS |
|
|
Image Classification (HP)
|
99% |
20241
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
12235
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26488
429.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
33328
540.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23752
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
317567
370.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
561017
654.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
269417
315.7 IPS |
|
|
Object Detection (SP)
|
100% |
20192
1.60 KIPS |
|
|
Object Detection (HP)
|
100% |
26294
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
16747
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
55838
663.5 IPS |
|
|
Face Detection (HP)
|
100% |
71373
848.1 IPS |
|
|
Face Detection (Q)
|
97% |
46901
559.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
100560
774.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
166069
1.28 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72721
581.6 IPS |
|
|
Style Transfer (SP)
|
100% |
600365
771.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1136913
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
502757
648.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65845
2.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86866
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46898
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5035
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2279
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5951
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5754
99.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2531
47.5 IPS |
