Alienware Alienware Aurora R15
Geekbench AI Score
3282
Single Precision Score
3334
Half Precision Score
12487
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 20 2024 09:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Alienware Alienware Aurora R15 |
| Motherboard | Alienware 049PDM |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.7 IPS |
|
|
Image Classification (HP)
|
100% |
1713
318.5 IPS |
|
|
Image Classification (Q)
|
100% |
8606
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8298
134.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6025
7.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
29468
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (Q)
|
88% |
9429
755.8 IPS |
|
|
Face Detection (SP)
|
100% |
5936
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
6023
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
22924
272.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5656
43.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
25471
198.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15224
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15362
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
55210
71.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2807
103.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15444
571.9 IPS |
|
|
Text Classification (SP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
4471
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2087
36.0 IPS |
