Alienware Alienware Aurora R16
Geekbench AI Score
5516
Single Precision Score
1691
Half Precision Score
8451
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Trebe |
| Upload Date | December 12 2024 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| 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 i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4632
861.5 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (Q)
|
99% |
7353
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4064
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11338
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4905
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
34657
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4352
345.2 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
7956
639.4 IPS |
|
|
Face Detection (SP)
|
100% |
10365
123.2 IPS |
|
|
Face Detection (HP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11882
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12742
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2223
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17832
142.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24326
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12462
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29180
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5820
215.5 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1744
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3597
72.3 IPS |
