Alienware Alienware Aurora R16
Geekbench AI Score
39443
Single Precision Score
55019
Half Precision Score
29386
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:19 PM |
| Views | 2 |
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 | High performance |
| 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% |
14225
2.65 KIPS |
|
|
Image Classification (HP)
|
99% |
19377
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
12211
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26066
422.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
32894
533.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
23323
379.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
305165
356.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
539352
629.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
265577
311.2 IPS |
|
|
Object Detection (SP)
|
100% |
19382
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
24907
1.98 KIPS |
|
|
Object Detection (Q)
|
86% |
15988
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
55140
655.2 IPS |
|
|
Face Detection (HP)
|
100% |
70675
839.8 IPS |
|
|
Face Detection (Q)
|
97% |
45144
538.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
98154
756.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
163163
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70859
566.7 IPS |
|
|
Style Transfer (SP)
|
100% |
564857
726.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1107708
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
478263
616.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61300
2.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82549
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45100
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5794
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5906
101.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2609
48.9 IPS |
