Alienware Alienware Aurora R16
Geekbench ML Score
4884
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 10:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| 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% |
2584
483.6 IPS |
|
|
Image Classification (F16)
|
100% |
2669
499.5 IPS |
|
|
Image Classification (I8)
|
99% |
4435
829.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2257
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2254
37.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3340
55.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10548
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10564
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
33297
40.3 IPS |
|
|
Object Detection (F32)
|
100% |
2429
181.3 IPS |
|
|
Object Detection (F16)
|
100% |
2372
177.1 IPS |
|
|
Object Detection (I8)
|
62% |
2144
160.1 IPS |
|
|
Face Detection (F32)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (F16)
|
100% |
5068
60.3 IPS |
|
|
Face Detection (I8)
|
89% |
5179
61.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10698
83.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10735
83.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
17651
136.9 IPS |
|
|
Style Transfer (F32)
|
100% |
25199
33.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24936
32.8 IPS |
|
|
Style Transfer (I8)
|
98% |
28280
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4633
165.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4711
168.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6098
217.8 IPS |
|
|
Text Classification (F32)
|
100% |
1734
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1776
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
528
759.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2371
43.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2361
43.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3351
61.7 IPS |
