Alienware Alienware Aurora R16
Geekbench ML Score
4923
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:46 PM |
| Views | 4 |
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% |
2699
505.0 IPS |
|
|
Image Classification (F16)
|
100% |
2676
500.8 IPS |
|
|
Image Classification (I8)
|
99% |
4458
834.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2278
38.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2308
38.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3180
53.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10530
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10640
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
34860
42.2 IPS |
|
|
Object Detection (F32)
|
100% |
2423
180.9 IPS |
|
|
Object Detection (F16)
|
100% |
2449
182.8 IPS |
|
|
Object Detection (I8)
|
62% |
2124
158.6 IPS |
|
|
Face Detection (F32)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (F16)
|
100% |
5107
60.7 IPS |
|
|
Face Detection (I8)
|
89% |
5199
61.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10514
81.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10931
84.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
17573
136.3 IPS |
|
|
Style Transfer (F32)
|
100% |
25630
33.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25589
33.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28517
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4655
166.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4675
167.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5948
212.4 IPS |
|
|
Text Classification (F32)
|
100% |
1794
2.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1800
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
539
775.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2368
43.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2423
44.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3350
61.6 IPS |
