Alienware Alienware Aurora R16
Geekbench ML Score
27813
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:48 PM |
| Views | 4 |
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% |
11767
2.20 KIPS |
|
|
Image Classification (F16)
|
100% |
13154
2.46 KIPS |
|
|
Image Classification (I8)
|
100% |
11390
2.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18882
315.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
17717
295.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
16344
273.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
281591
341.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
278185
336.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
241128
292.0 IPS |
|
|
Object Detection (F32)
|
100% |
8512
635.5 IPS |
|
|
Object Detection (F16)
|
100% |
8372
625.0 IPS |
|
|
Object Detection (I8)
|
54% |
7622
569.0 IPS |
|
|
Face Detection (F32)
|
100% |
42047
499.9 IPS |
|
|
Face Detection (F16)
|
100% |
39594
470.8 IPS |
|
|
Face Detection (I8)
|
88% |
35099
417.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
77693
602.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
78574
609.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
60209
466.9 IPS |
|
|
Style Transfer (F32)
|
100% |
489357
643.7 IPS |
|
|
Style Transfer (F16)
|
100% |
494493
650.5 IPS |
|
|
Style Transfer (I8)
|
98% |
390803
514.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
52383
1.87 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53364
1.91 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39575
1.41 KIPS |
|
|
Text Classification (F32)
|
100% |
3044
4.38 KIPS |
|
|
Text Classification (F16)
|
100% |
3050
4.38 KIPS |
|
|
Text Classification (I8)
|
98% |
1816
2.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
4661
85.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4630
85.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2629
48.4 IPS |
