Alienware Alienware Aurora R16
Geekbench ML Score
4787
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 02:38 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 | 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2552
477.5 IPS |
|
|
Image Classification (F16)
|
100% |
2519
471.3 IPS |
|
|
Image Classification (I8)
|
99% |
4337
811.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2205
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2243
37.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3324
55.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10554
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10516
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
34198
41.4 IPS |
|
|
Object Detection (F32)
|
100% |
2362
176.3 IPS |
|
|
Object Detection (F16)
|
100% |
2445
182.5 IPS |
|
|
Object Detection (I8)
|
62% |
2055
153.5 IPS |
|
|
Face Detection (F32)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (F16)
|
100% |
5122
60.9 IPS |
|
|
Face Detection (I8)
|
89% |
5051
60.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10488
81.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10725
83.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
16509
128.0 IPS |
|
|
Style Transfer (F32)
|
100% |
24356
32.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24620
32.4 IPS |
|
|
Style Transfer (I8)
|
98% |
27537
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4734
169.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4675
167.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5807
207.4 IPS |
|
|
Text Classification (F32)
|
100% |
1790
2.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1745
2.51 KIPS |
|
|
Text Classification (I8)
|
98% |
484
695.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2268
41.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2222
40.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3111
57.2 IPS |
