Alienware Alienware Aurora R16
Geekbench ML Score
4791
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 08 2024 10:13 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2514
470.4 IPS |
|
|
Image Classification (F16)
|
100% |
2610
488.4 IPS |
|
|
Image Classification (I8)
|
99% |
4425
828.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2269
37.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2261
37.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3286
54.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
10503
12.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
10560
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
32457
39.3 IPS |
|
|
Object Detection (F32)
|
100% |
2420
180.7 IPS |
|
|
Object Detection (F16)
|
100% |
2505
187.0 IPS |
|
|
Object Detection (I8)
|
62% |
2036
152.0 IPS |
|
|
Face Detection (F32)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (F16)
|
100% |
5024
59.7 IPS |
|
|
Face Detection (I8)
|
89% |
5162
61.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10590
82.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10004
77.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
17271
133.9 IPS |
|
|
Style Transfer (F32)
|
100% |
25238
33.2 IPS |
|
|
Style Transfer (F16)
|
100% |
25077
33.0 IPS |
|
|
Style Transfer (I8)
|
98% |
27404
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4638
165.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4638
165.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5977
213.4 IPS |
|
|
Text Classification (F32)
|
100% |
1729
2.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1687
2.42 KIPS |
|
|
Text Classification (I8)
|
98% |
451
648.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2281
42.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2287
42.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3251
59.8 IPS |
