iPhone 12
Geekbench ML Score
2450
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 02:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 3.59 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5269
564.6 IPS |
|
|
Image Classification (F16)
|
100% |
5249
562.4 IPS |
|
|
Image Classification (I8)
|
81% |
647
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1839
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1838
11.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1183
7.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
17937
72.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
19211
77.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
223
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
6384
224.0 IPS |
|
|
Object Detection (F16)
|
100% |
6375
223.7 IPS |
|
|
Object Detection (I8)
|
52% |
917
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
6818
78.3 IPS |
|
|
Face Detection (F16)
|
100% |
6746
77.5 IPS |
|
|
Face Detection (I8)
|
75% |
877
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1037
410.1 IPS |
|
|
Text Classification (F16)
|
100% |
1032
408.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1679
258.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1676
258.3 IPS |
