Alienware Alienware Aurora R16
Geekbench ML Score
4910
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:47 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% |
2628
491.7 IPS |
|
|
Image Classification (F16)
|
100% |
2698
504.9 IPS |
|
|
Image Classification (I8)
|
99% |
4448
832.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2326
38.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2293
38.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3222
53.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10592
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10631
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
34448
41.7 IPS |
|
|
Object Detection (F32)
|
100% |
2387
178.2 IPS |
|
|
Object Detection (F16)
|
100% |
2469
184.3 IPS |
|
|
Object Detection (I8)
|
62% |
2087
155.8 IPS |
|
|
Face Detection (F32)
|
100% |
5024
59.7 IPS |
|
|
Face Detection (F16)
|
100% |
5070
60.3 IPS |
|
|
Face Detection (I8)
|
89% |
5138
61.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10328
80.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10559
81.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
18171
140.9 IPS |
|
|
Style Transfer (F32)
|
100% |
25357
33.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25197
33.1 IPS |
|
|
Style Transfer (I8)
|
98% |
28613
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4725
168.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4800
171.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6531
233.3 IPS |
|
|
Text Classification (F32)
|
100% |
1751
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1746
2.51 KIPS |
|
|
Text Classification (I8)
|
98% |
513
737.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2411
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2355
43.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3342
61.5 IPS |
