Alienware Alienware Aurora R16
Geekbench ML Score
4692
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 05:48 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 | High performance |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2446
457.7 IPS |
|
|
Image Classification (F16)
|
100% |
2515
470.6 IPS |
|
|
Image Classification (I8)
|
99% |
4234
792.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2202
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2230
37.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3183
53.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10420
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10385
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
31956
38.7 IPS |
|
|
Object Detection (F32)
|
100% |
2358
176.0 IPS |
|
|
Object Detection (F16)
|
100% |
2312
172.6 IPS |
|
|
Object Detection (I8)
|
62% |
2071
154.6 IPS |
|
|
Face Detection (F32)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (F16)
|
100% |
4742
56.4 IPS |
|
|
Face Detection (I8)
|
89% |
4921
58.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10217
79.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10384
80.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
17002
131.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24483
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23717
31.2 IPS |
|
|
Style Transfer (I8)
|
98% |
27101
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4622
165.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4587
163.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5651
201.8 IPS |
|
|
Text Classification (F32)
|
100% |
1686
2.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1614
2.32 KIPS |
|
|
Text Classification (I8)
|
98% |
515
739.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2258
41.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2250
41.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3244
59.7 IPS |
