iPhone 12
Geekbench ML Score
2432
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 07:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6184
662.6 IPS |
|
|
Image Classification (F16)
|
100% |
5942
636.7 IPS |
|
|
Image Classification (I8)
|
81% |
607
65.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1743
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1709
10.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
999
6.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
17889
72.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
14986
60.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
195
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
7101
249.2 IPS |
|
|
Object Detection (F16)
|
100% |
7140
250.6 IPS |
|
|
Object Detection (I8)
|
52% |
800
28.1 IPS |
|
|
Face Detection (F32)
|
100% |
7381
84.8 IPS |
|
|
Face Detection (F16)
|
100% |
7692
88.4 IPS |
|
|
Face Detection (I8)
|
75% |
783
9.00 IPS |
|
|
Text Classification (F32)
|
100% |
1089
430.6 IPS |
|
|
Text Classification (F16)
|
100% |
1105
436.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1699
261.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1694
261.1 IPS |
