Alienware Alienware Aurora R16
Geekbench ML Score
27322
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 10:15 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 | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11521
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
12232
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
10986
2.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18127
302.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
17014
284.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
16077
268.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
279163
338.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
279683
338.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
240056
290.7 IPS |
|
|
Object Detection (F32)
|
100% |
8140
607.7 IPS |
|
|
Object Detection (F16)
|
100% |
8064
602.1 IPS |
|
|
Object Detection (I8)
|
54% |
7575
565.5 IPS |
|
|
Face Detection (F32)
|
100% |
40696
483.9 IPS |
|
|
Face Detection (F16)
|
100% |
41108
488.8 IPS |
|
|
Face Detection (I8)
|
88% |
34325
408.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
80717
626.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
79607
617.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
61548
477.3 IPS |
|
|
Style Transfer (F32)
|
100% |
489988
644.5 IPS |
|
|
Style Transfer (F16)
|
100% |
484533
637.4 IPS |
|
|
Style Transfer (I8)
|
98% |
410314
539.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51813
1.85 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51548
1.84 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38051
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2985
4.29 KIPS |
|
|
Text Classification (F16)
|
100% |
2931
4.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1748
2.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
4455
82.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4427
81.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2568
47.3 IPS |
