Alienware Alienware Aurora R16
Geekbench ML Score
27252
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 07 2024 03:07 PM |
| Views | 5 |
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% |
11938
2.23 KIPS |
|
|
Image Classification (F16)
|
100% |
12563
2.35 KIPS |
|
|
Image Classification (I8)
|
100% |
10400
1.95 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17316
289.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
16824
281.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
16219
270.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
276518
334.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
283232
343.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
240531
291.3 IPS |
|
|
Object Detection (F32)
|
100% |
8286
618.6 IPS |
|
|
Object Detection (F16)
|
100% |
8279
618.1 IPS |
|
|
Object Detection (I8)
|
54% |
7749
578.5 IPS |
|
|
Face Detection (F32)
|
100% |
41389
492.1 IPS |
|
|
Face Detection (F16)
|
100% |
41560
494.2 IPS |
|
|
Face Detection (I8)
|
88% |
33710
400.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
85297
661.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
79045
613.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
60281
467.5 IPS |
|
|
Style Transfer (F32)
|
100% |
481008
632.7 IPS |
|
|
Style Transfer (F16)
|
100% |
483199
635.6 IPS |
|
|
Style Transfer (I8)
|
98% |
409953
539.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
53329
1.90 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
44483
1.59 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38738
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
2967
4.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2880
4.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1789
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
4513
83.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4543
83.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2418
44.5 IPS |
