Alienware Alienware Aurora R16
Geekbench AI Score
4428
Single Precision Score
867
Half Precision Score
5453
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ronkokish |
| Upload Date | October 27 2024 10:50 PM |
| Views | 1 |
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% |
2122
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
99% |
4522
843.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
3280
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11476
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4839
5.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
36790
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
88% |
2660
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
5292
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (Q)
|
97% |
5268
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9459
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
991
7.63 IPS |
|
|
Depth Estimation (Q)
|
76% |
12029
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25606
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11904
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28894
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5983
221.6 IPS |
|
|
Text Classification (SP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
688
917.7 IPS |
|
|
Text Classification (Q)
|
97% |
616
824.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2145
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2376
53.0 IPS |
