Alienware Alienware Aurora R16
Geekbench ML Score
4926
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 21 2024 04:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900F |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2550
477.2 IPS |
|
|
Image Classification (F16)
|
100% |
2672
500.0 IPS |
|
|
Image Classification (I8)
|
99% |
4347
813.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2306
38.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2263
37.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3275
54.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10412
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10609
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
36459
44.2 IPS |
|
|
Object Detection (F32)
|
100% |
2532
189.0 IPS |
|
|
Object Detection (F16)
|
100% |
2443
182.4 IPS |
|
|
Object Detection (I8)
|
62% |
2219
165.6 IPS |
|
|
Face Detection (F32)
|
100% |
5063
60.2 IPS |
|
|
Face Detection (F16)
|
100% |
5094
60.6 IPS |
|
|
Face Detection (I8)
|
89% |
5160
61.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10766
83.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10624
82.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
17215
133.5 IPS |
|
|
Style Transfer (F32)
|
100% |
25604
33.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25402
33.4 IPS |
|
|
Style Transfer (I8)
|
98% |
28045
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4831
172.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4837
172.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6459
230.7 IPS |
|
|
Text Classification (F32)
|
100% |
1731
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1730
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
511
734.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2381
43.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2405
44.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3370
62.0 IPS |
