Alienware Alienware Aurora R16
Geekbench AI Score
4350
Single Precision Score
870
Half Precision Score
5958
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ronkokish |
| Upload Date | January 01 2025 01:51 AM |
| Views | 3 |
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% |
2559
476.0 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
99% |
4140
772.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
3743
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11672
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4943
5.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
32322
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
2782
220.6 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
88% |
2536
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
5411
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10537
81.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.86 IPS |
|
|
Depth Estimation (Q)
|
76% |
10464
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24283
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12174
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27820
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2213
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5674
210.1 IPS |
|
|
Text Classification (SP)
|
100% |
1718
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
681
909.3 IPS |
|
|
Text Classification (Q)
|
97% |
1713
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2899
64.7 IPS |
