Alienware Alienware Aurora R16
Geekbench ML Score
27868
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 22 2025 01:18 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% |
11810
2.21 KIPS |
|
|
Image Classification (F16)
|
100% |
12811
2.40 KIPS |
|
|
Image Classification (I8)
|
100% |
11199
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18065
301.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
17438
291.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
16278
271.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
278101
336.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
275761
333.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
243733
295.2 IPS |
|
|
Object Detection (F32)
|
100% |
8610
642.8 IPS |
|
|
Object Detection (F16)
|
100% |
8881
663.0 IPS |
|
|
Object Detection (I8)
|
54% |
8071
602.5 IPS |
|
|
Face Detection (F32)
|
100% |
41525
493.7 IPS |
|
|
Face Detection (F16)
|
100% |
42329
503.3 IPS |
|
|
Face Detection (I8)
|
88% |
35061
416.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
92531
717.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
79820
619.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
62075
481.4 IPS |
|
|
Style Transfer (F32)
|
100% |
477343
627.9 IPS |
|
|
Style Transfer (F16)
|
100% |
486975
640.6 IPS |
|
|
Style Transfer (I8)
|
98% |
414340
545.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50061
1.79 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51518
1.84 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38669
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
2930
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
2936
4.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1787
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
4563
84.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4539
83.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2605
47.9 IPS |
