Alienware Alienware Aurora R16
Geekbench ML Score
26600
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 07 2024 12:26 PM |
| Views | 4 |
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% |
11376
2.13 KIPS |
|
|
Image Classification (F16)
|
100% |
11043
2.07 KIPS |
|
|
Image Classification (I8)
|
100% |
10470
1.96 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18188
303.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
17641
294.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
15991
267.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
279343
338.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
278438
337.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
239097
289.5 IPS |
|
|
Object Detection (F32)
|
100% |
7913
590.7 IPS |
|
|
Object Detection (F16)
|
100% |
7969
594.9 IPS |
|
|
Object Detection (I8)
|
54% |
7391
551.8 IPS |
|
|
Face Detection (F32)
|
100% |
39621
471.1 IPS |
|
|
Face Detection (F16)
|
100% |
39751
472.6 IPS |
|
|
Face Detection (I8)
|
88% |
34052
404.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
77708
602.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
78190
606.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
58906
456.8 IPS |
|
|
Style Transfer (F32)
|
100% |
461203
606.7 IPS |
|
|
Style Transfer (F16)
|
100% |
456907
601.0 IPS |
|
|
Style Transfer (I8)
|
98% |
390583
513.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
46978
1.68 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
47081
1.68 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
36232
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2988
4.29 KIPS |
|
|
Text Classification (F16)
|
100% |
2924
4.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1739
2.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
4459
82.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4375
80.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2542
46.8 IPS |
