iPhone 12
Geekbench ML Score
2415
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:24 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5224
559.7 IPS |
|
|
Image Classification (F16)
|
100% |
5169
553.9 IPS |
|
|
Image Classification (I8)
|
81% |
644
69.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1775
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1825
11.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1096
6.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
18981
76.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
16800
68.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
210
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
6898
242.1 IPS |
|
|
Object Detection (F16)
|
100% |
6836
239.9 IPS |
|
|
Object Detection (I8)
|
52% |
850
29.8 IPS |
|
|
Face Detection (F32)
|
100% |
6875
79.0 IPS |
|
|
Face Detection (F16)
|
100% |
6805
78.2 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
1023
404.8 IPS |
|
|
Text Classification (F16)
|
100% |
1025
405.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1690
260.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1692
260.8 IPS |
