Alienware Alienware Aurora R16
Geekbench ML Score
27537
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 05:49 PM |
| Views | 3 |
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% |
11539
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
12790
2.39 KIPS |
|
|
Image Classification (I8)
|
100% |
10762
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18640
311.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
17840
297.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
16424
274.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
278448
337.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
276907
335.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
243223
294.5 IPS |
|
|
Object Detection (F32)
|
100% |
8135
607.3 IPS |
|
|
Object Detection (F16)
|
100% |
8187
611.2 IPS |
|
|
Object Detection (I8)
|
54% |
7531
562.2 IPS |
|
|
Face Detection (F32)
|
100% |
41342
491.6 IPS |
|
|
Face Detection (F16)
|
100% |
42372
503.8 IPS |
|
|
Face Detection (I8)
|
88% |
34996
416.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
80307
622.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
78117
605.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
60494
469.1 IPS |
|
|
Style Transfer (F32)
|
100% |
488017
641.9 IPS |
|
|
Style Transfer (F16)
|
100% |
484925
637.9 IPS |
|
|
Style Transfer (I8)
|
98% |
414860
545.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50870
1.82 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51067
1.82 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38141
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2959
4.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2975
4.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1768
2.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
4554
83.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4601
84.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2619
48.2 IPS |
