Alienware Alienware Aurora R16
Geekbench ML Score
27493
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:49 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% |
11962
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
13293
2.49 KIPS |
|
|
Image Classification (I8)
|
100% |
11305
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17401
290.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
17644
294.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
16592
277.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
280901
340.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
271785
329.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
240988
291.8 IPS |
|
|
Object Detection (F32)
|
100% |
8181
610.8 IPS |
|
|
Object Detection (F16)
|
100% |
8217
613.4 IPS |
|
|
Object Detection (I8)
|
54% |
7577
565.7 IPS |
|
|
Face Detection (F32)
|
100% |
41455
492.9 IPS |
|
|
Face Detection (F16)
|
100% |
42142
501.1 IPS |
|
|
Face Detection (I8)
|
88% |
34612
411.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
78109
605.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
77292
599.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
59139
458.6 IPS |
|
|
Style Transfer (F32)
|
100% |
445161
585.6 IPS |
|
|
Style Transfer (F16)
|
100% |
464557
611.1 IPS |
|
|
Style Transfer (I8)
|
98% |
406533
534.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
52321
1.87 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53022
1.89 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37377
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
3026
4.35 KIPS |
|
|
Text Classification (F16)
|
100% |
3018
4.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1813
2.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
4608
84.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4634
85.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2633
48.5 IPS |
