Alienware Alienware Aurora R16
Geekbench ML Score
27761
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 21 2024 04:33 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 | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11850
2.22 KIPS |
|
|
Image Classification (F16)
|
100% |
13472
2.52 KIPS |
|
|
Image Classification (I8)
|
100% |
9925
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18632
311.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
17560
293.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
16598
277.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
278363
337.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
277942
336.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
241495
292.4 IPS |
|
|
Object Detection (F32)
|
100% |
8302
619.8 IPS |
|
|
Object Detection (F16)
|
100% |
8385
626.0 IPS |
|
|
Object Detection (I8)
|
54% |
7803
582.5 IPS |
|
|
Face Detection (F32)
|
100% |
40707
484.0 IPS |
|
|
Face Detection (F16)
|
100% |
41121
488.9 IPS |
|
|
Face Detection (I8)
|
88% |
35201
418.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
86936
674.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
79229
614.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
59463
461.1 IPS |
|
|
Style Transfer (F32)
|
100% |
484009
636.7 IPS |
|
|
Style Transfer (F16)
|
100% |
475829
625.9 IPS |
|
|
Style Transfer (I8)
|
98% |
412265
542.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
52309
1.87 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53282
1.90 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39324
1.40 KIPS |
|
|
Text Classification (F32)
|
100% |
3026
4.35 KIPS |
|
|
Text Classification (F16)
|
100% |
3014
4.33 KIPS |
|
|
Text Classification (I8)
|
98% |
1790
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
4610
84.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4633
85.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2629
48.4 IPS |
