Alienware Alienware Aurora R16
Geekbench ML Score
4851
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:48 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 | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 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% |
2630
492.1 IPS |
|
|
Image Classification (F16)
|
100% |
2646
495.1 IPS |
|
|
Image Classification (I8)
|
99% |
4371
818.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2226
37.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2265
37.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3143
52.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10552
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10518
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
33103
40.1 IPS |
|
|
Object Detection (F32)
|
100% |
2374
177.2 IPS |
|
|
Object Detection (F16)
|
100% |
2339
174.6 IPS |
|
|
Object Detection (I8)
|
62% |
2262
168.9 IPS |
|
|
Face Detection (F32)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (F16)
|
100% |
5001
59.5 IPS |
|
|
Face Detection (I8)
|
89% |
5253
62.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10616
82.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10656
82.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
17302
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
25304
33.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25257
33.2 IPS |
|
|
Style Transfer (I8)
|
98% |
28111
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4788
171.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4604
164.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6286
224.5 IPS |
|
|
Text Classification (F32)
|
100% |
1708
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1689
2.43 KIPS |
|
|
Text Classification (I8)
|
98% |
487
700.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2402
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2367
43.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3250
59.8 IPS |
