Alienware Alienware Aurora R16
Geekbench AI Score
4615
Single Precision Score
869
Half Precision Score
5497
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ronkokish |
| Upload Date | October 27 2024 09:48 PM |
| Views | 4 |
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 |
| 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% |
2418
449.6 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
99% |
4620
861.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
3563
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11397
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4824
5.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
36313
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
3006
238.5 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
88% |
2432
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
5157
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
5352
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9972
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1033
7.96 IPS |
|
|
Depth Estimation (Q)
|
76% |
11656
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26045
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11968
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29911
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5786
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
637
850.7 IPS |
|
|
Text Classification (Q)
|
97% |
598
801.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2688
60.0 IPS |
