Alienware Alienware Aurora R16
Geekbench ML Score
27217
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 02:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora R16 |
| Motherboard | Alienware 0RF96M |
| Power Plan | Balanced |
| 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% |
11952
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
12353
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
9886
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18672
311.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
17444
291.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
16298
272.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
279494
338.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
276259
334.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
239555
290.1 IPS |
|
|
Object Detection (F32)
|
100% |
7988
596.4 IPS |
|
|
Object Detection (F16)
|
100% |
7957
594.1 IPS |
|
|
Object Detection (I8)
|
54% |
7814
583.4 IPS |
|
|
Face Detection (F32)
|
100% |
40494
481.5 IPS |
|
|
Face Detection (F16)
|
100% |
39919
474.6 IPS |
|
|
Face Detection (I8)
|
88% |
34412
409.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
78459
608.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
78551
609.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
61048
473.4 IPS |
|
|
Style Transfer (F32)
|
100% |
481444
633.3 IPS |
|
|
Style Transfer (F16)
|
100% |
484935
637.9 IPS |
|
|
Style Transfer (I8)
|
98% |
419006
551.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51484
1.84 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
49995
1.79 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38699
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
2783
4.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2976
4.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1810
2.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
4477
82.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4479
82.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2544
46.8 IPS |
