Alienware Alienware Aurora Ryzen Edition
Geekbench AI Score
22596
Single Precision Score
34751
Half Precision Score
14134
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora Ryzen Edition |
| Motherboard | Alienware 0TYR0X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9115
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
13291
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
6268
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14372
233.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19267
312.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10735
174.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
132775
154.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
377682
440.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
104998
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
11404
904.6 IPS |
|
|
Object Detection (HP)
|
100% |
16313
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
7904
635.8 IPS |
|
|
Face Detection (SP)
|
100% |
29172
346.6 IPS |
|
|
Face Detection (HP)
|
100% |
41540
493.6 IPS |
|
|
Face Detection (Q)
|
97% |
20471
244.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
61397
473.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104976
808.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
36600
293.2 IPS |
|
|
Style Transfer (SP)
|
100% |
241238
310.1 IPS |
|
|
Style Transfer (HP)
|
100% |
574256
738.2 IPS |
|
|
Style Transfer (Q)
|
98% |
177944
229.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35446
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45591
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19750
731.3 IPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3548
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4032
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1510
28.3 IPS |
