Alienware Alienware Aurora R16
Geekbench ML Score
27175
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 13 2024 02:56 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 | 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% |
12030
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
12414
2.32 KIPS |
|
|
Image Classification (I8)
|
100% |
10437
1.95 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17488
292.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
17198
287.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
16137
269.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
257040
311.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
275549
333.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
240014
290.6 IPS |
|
|
Object Detection (F32)
|
100% |
7274
543.0 IPS |
|
|
Object Detection (F16)
|
100% |
7983
596.0 IPS |
|
|
Object Detection (I8)
|
54% |
7543
563.1 IPS |
|
|
Face Detection (F32)
|
100% |
40160
477.5 IPS |
|
|
Face Detection (F16)
|
100% |
40424
480.7 IPS |
|
|
Face Detection (I8)
|
88% |
34117
405.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
83400
646.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
76981
597.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
61231
474.8 IPS |
|
|
Style Transfer (F32)
|
100% |
490115
644.7 IPS |
|
|
Style Transfer (F16)
|
100% |
459466
604.4 IPS |
|
|
Style Transfer (I8)
|
98% |
419770
552.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
53465
1.91 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51867
1.85 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39634
1.42 KIPS |
|
|
Text Classification (F32)
|
100% |
3072
4.41 KIPS |
|
|
Text Classification (F16)
|
100% |
2999
4.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1840
2.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
4425
81.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4433
81.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2502
46.0 IPS |
