Alienware Alienware Aurora R16
Geekbench ML Score
27650
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 10:44 AM |
| Views | 2 |
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% |
11433
2.14 KIPS |
|
|
Image Classification (F16)
|
100% |
11974
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
10878
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18086
302.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
17546
293.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
16547
276.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
276212
334.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
280395
339.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
240405
291.1 IPS |
|
|
Object Detection (F32)
|
100% |
8389
626.3 IPS |
|
|
Object Detection (F16)
|
100% |
8506
635.0 IPS |
|
|
Object Detection (I8)
|
54% |
7909
590.5 IPS |
|
|
Face Detection (F32)
|
100% |
41581
494.4 IPS |
|
|
Face Detection (F16)
|
100% |
41340
491.5 IPS |
|
|
Face Detection (I8)
|
88% |
34954
415.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
81408
631.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
76718
594.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
59860
464.2 IPS |
|
|
Style Transfer (F32)
|
100% |
488896
643.1 IPS |
|
|
Style Transfer (F16)
|
100% |
482606
634.8 IPS |
|
|
Style Transfer (I8)
|
98% |
418368
550.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
52588
1.88 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
52060
1.86 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38917
1.39 KIPS |
|
|
Text Classification (F32)
|
100% |
3117
4.48 KIPS |
|
|
Text Classification (F16)
|
100% |
3052
4.39 KIPS |
|
|
Text Classification (I8)
|
98% |
1831
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
4539
83.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4577
84.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2537
46.7 IPS |
