Alienware Alienware Aurora R16
Geekbench ML Score
27523
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 08 2024 10:14 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% |
11849
2.22 KIPS |
|
|
Image Classification (F16)
|
100% |
11869
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
10976
2.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18322
306.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
17958
299.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
16695
278.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
280500
339.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
282187
341.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
243102
294.4 IPS |
|
|
Object Detection (F32)
|
100% |
8364
624.5 IPS |
|
|
Object Detection (F16)
|
100% |
8307
620.1 IPS |
|
|
Object Detection (I8)
|
54% |
7751
578.6 IPS |
|
|
Face Detection (F32)
|
100% |
40967
487.1 IPS |
|
|
Face Detection (F16)
|
100% |
40728
484.3 IPS |
|
|
Face Detection (I8)
|
88% |
34886
414.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
79786
618.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
78722
610.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
59729
463.2 IPS |
|
|
Style Transfer (F32)
|
100% |
484461
637.3 IPS |
|
|
Style Transfer (F16)
|
100% |
484431
637.2 IPS |
|
|
Style Transfer (I8)
|
98% |
415714
546.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
52182
1.86 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51368
1.83 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
36805
1.31 KIPS |
|
|
Text Classification (F32)
|
100% |
3060
4.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3038
4.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1815
2.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
4506
82.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4520
83.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2447
45.0 IPS |
