Alienware Alienware Aurora R16
Geekbench AI Score
4297
Single Precision Score
839
Half Precision Score
5768
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | loismustdie1 |
| Upload Date | August 15 2024 05:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (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% |
2207
410.3 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
99% |
4379
816.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
3677
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10965
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4782
5.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
33156
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.4 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
88% |
2455
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
5163
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10251
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
973
7.50 IPS |
|
|
Depth Estimation (Q)
|
76% |
11007
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24366
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12013
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25609
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2241
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
653
872.2 IPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2778
62.0 IPS |
