Alienware Alienware Aurora R16
Geekbench ML Score
27428
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 05:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| 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% |
11798
2.21 KIPS |
|
|
Image Classification (F16)
|
100% |
12588
2.36 KIPS |
|
|
Image Classification (I8)
|
100% |
10721
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18956
316.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
17630
294.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
16299
272.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
276731
335.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
270379
327.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
238758
289.1 IPS |
|
|
Object Detection (F32)
|
100% |
7989
596.4 IPS |
|
|
Object Detection (F16)
|
100% |
8021
598.8 IPS |
|
|
Object Detection (I8)
|
54% |
7419
553.9 IPS |
|
|
Face Detection (F32)
|
100% |
41260
490.6 IPS |
|
|
Face Detection (F16)
|
100% |
40953
486.9 IPS |
|
|
Face Detection (I8)
|
88% |
34766
413.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
86819
673.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
77435
600.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
60040
465.6 IPS |
|
|
Style Transfer (F32)
|
100% |
481963
634.0 IPS |
|
|
Style Transfer (F16)
|
100% |
471774
620.6 IPS |
|
|
Style Transfer (I8)
|
98% |
410647
540.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50549
1.81 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
49984
1.79 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38062
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
3021
4.34 KIPS |
|
|
Text Classification (F16)
|
100% |
3098
4.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1791
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
4536
83.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4554
83.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2578
47.4 IPS |
