Alienware Alienware Aurora R16
Geekbench ML Score
27659
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 10:43 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% |
12556
2.35 KIPS |
|
|
Image Classification (F16)
|
100% |
13221
2.47 KIPS |
|
|
Image Classification (I8)
|
100% |
9961
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18224
304.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
18168
303.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
16372
273.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
274022
331.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
271357
328.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
240995
291.8 IPS |
|
|
Object Detection (F32)
|
100% |
8399
627.0 IPS |
|
|
Object Detection (F16)
|
100% |
8353
623.6 IPS |
|
|
Object Detection (I8)
|
54% |
7698
574.7 IPS |
|
|
Face Detection (F32)
|
100% |
41458
492.9 IPS |
|
|
Face Detection (F16)
|
100% |
41654
495.3 IPS |
|
|
Face Detection (I8)
|
88% |
35719
424.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
78825
611.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
77563
601.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
60332
467.9 IPS |
|
|
Style Transfer (F32)
|
100% |
486871
640.4 IPS |
|
|
Style Transfer (F16)
|
100% |
488896
643.1 IPS |
|
|
Style Transfer (I8)
|
98% |
414732
545.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51971
1.86 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
52237
1.87 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38726
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
3030
4.35 KIPS |
|
|
Text Classification (F16)
|
100% |
2971
4.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1784
2.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
4556
83.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4609
84.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2606
48.0 IPS |
