Alienware Alienware Aurora R16
Geekbench ML Score
27768
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 01:59 AM |
| Views | 3 |
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% |
11685
2.19 KIPS |
|
|
Image Classification (F16)
|
100% |
13056
2.44 KIPS |
|
|
Image Classification (I8)
|
100% |
11096
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18639
311.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
17308
289.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
16742
279.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
276963
335.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
279551
338.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
239951
290.6 IPS |
|
|
Object Detection (F32)
|
100% |
8394
626.6 IPS |
|
|
Object Detection (F16)
|
100% |
8425
629.0 IPS |
|
|
Object Detection (I8)
|
54% |
7710
575.6 IPS |
|
|
Face Detection (F32)
|
100% |
41133
489.1 IPS |
|
|
Face Detection (F16)
|
100% |
41123
489.0 IPS |
|
|
Face Detection (I8)
|
88% |
35263
419.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
87496
678.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
77553
601.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
60433
468.7 IPS |
|
|
Style Transfer (F32)
|
100% |
478174
629.0 IPS |
|
|
Style Transfer (F16)
|
100% |
477903
628.6 IPS |
|
|
Style Transfer (I8)
|
98% |
409254
538.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
52039
1.86 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51546
1.84 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38546
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
3122
4.49 KIPS |
|
|
Text Classification (F16)
|
100% |
3036
4.36 KIPS |
|
|
Text Classification (I8)
|
98% |
1816
2.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
4556
83.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4574
84.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2577
47.4 IPS |
