Alienware Alienware Aurora R16
Geekbench ML Score
4918
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 13 2024 02:55 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2596
485.7 IPS |
|
|
Image Classification (F16)
|
100% |
2547
476.7 IPS |
|
|
Image Classification (I8)
|
99% |
4132
773.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1981
33.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2152
35.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3509
58.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10669
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
10748
13.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
32236
39.0 IPS |
|
|
Object Detection (F32)
|
100% |
2610
194.9 IPS |
|
|
Object Detection (F16)
|
100% |
2631
196.4 IPS |
|
|
Object Detection (I8)
|
62% |
2184
163.1 IPS |
|
|
Face Detection (F32)
|
100% |
5183
61.6 IPS |
|
|
Face Detection (F16)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (I8)
|
89% |
5362
63.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
11084
86.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11087
86.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
17322
134.3 IPS |
|
|
Style Transfer (F32)
|
100% |
24767
32.6 IPS |
|
|
Style Transfer (F16)
|
100% |
25724
33.8 IPS |
|
|
Style Transfer (I8)
|
98% |
28261
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4550
162.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4808
171.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6386
228.1 IPS |
|
|
Text Classification (F32)
|
100% |
1844
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1773
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
530
762.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2419
44.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2225
40.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3452
63.5 IPS |
