Alienware Alienware Aurora R16
Geekbench ML Score
4810
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 05:52 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 i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2693
504.0 IPS |
|
|
Image Classification (F16)
|
100% |
2646
495.1 IPS |
|
|
Image Classification (I8)
|
99% |
4591
859.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2201
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2210
36.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3236
54.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10427
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10157
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
32593
39.5 IPS |
|
|
Object Detection (F32)
|
100% |
2566
191.5 IPS |
|
|
Object Detection (F16)
|
100% |
2420
180.6 IPS |
|
|
Object Detection (I8)
|
62% |
2195
163.9 IPS |
|
|
Face Detection (F32)
|
100% |
4706
56.0 IPS |
|
|
Face Detection (F16)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (I8)
|
89% |
4884
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10251
79.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10284
79.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
17927
139.0 IPS |
|
|
Style Transfer (F32)
|
100% |
23089
30.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23336
30.7 IPS |
|
|
Style Transfer (I8)
|
98% |
26889
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4499
160.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4308
153.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6315
225.5 IPS |
|
|
Text Classification (F32)
|
100% |
1872
2.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1871
2.69 KIPS |
|
|
Text Classification (I8)
|
98% |
501
720.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2387
43.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2325
42.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3287
60.5 IPS |
