Alienware Alienware Aurora R16
Geekbench AI Score
4791
Single Precision Score
908
Half Precision Score
5722
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ronkokish |
| Upload Date | August 15 2024 07:20 PM |
| 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% |
2466
458.6 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
4635
864.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
3459
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11776
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4955
5.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
36832
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
88% |
2667
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
5718
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11349
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1074
8.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
12282
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27000
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12427
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28913
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3888
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6053
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
666
892.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2920
65.1 IPS |
