iPhone X
Geekbench ML Score
421
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 02:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| Model | iPhone X |
| Model ID | iPhone10,6 |
| Motherboard | D221AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
221
23.7 IPS |
|
|
Image Classification (F16)
|
100% |
227
24.3 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
705
4.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
713
4.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
659
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
687
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
688
2.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
471
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
500
17.5 IPS |
|
|
Object Detection (I8)
|
52% |
514
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
692
7.96 IPS |
|
|
Face Detection (F16)
|
100% |
700
8.04 IPS |
|
|
Face Detection (I8)
|
75% |
490
5.63 IPS |
|
|
Text Classification (F32)
|
100% |
117
46.3 IPS |
|
|
Text Classification (F16)
|
100% |
110
43.4 IPS |
|
|
Machine Translation (F32)
|
100% |
735
113.3 IPS |
|
|
Machine Translation (F16)
|
100% |
736
113.5 IPS |
