Alienware Alienware Aurora Ryzen Edition
Geekbench AI Score
20709
Single Precision Score
30880
Half Precision Score
12923
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 12 |
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% |
8544
1.59 KIPS |
|
|
Image Classification (HP)
|
99% |
11700
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5607
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12007
194.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15325
248.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9376
152.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
131482
153.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
363443
424.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
103381
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
10164
806.2 IPS |
|
|
Object Detection (HP)
|
100% |
14020
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
7058
565.0 IPS |
|
|
Face Detection (SP)
|
100% |
24404
290.0 IPS |
|
|
Face Detection (HP)
|
100% |
33067
392.9 IPS |
|
|
Face Detection (Q)
|
97% |
16821
200.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53157
409.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
90406
696.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
32461
261.8 IPS |
|
|
Style Transfer (SP)
|
100% |
242034
311.1 IPS |
|
|
Style Transfer (HP)
|
100% |
559169
718.8 IPS |
|
|
Style Transfer (Q)
|
98% |
177349
228.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34996
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43042
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20144
745.9 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3691
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1474
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1178
26.3 IPS |
