iPhone 12 Pro
Geekbench ML Score
2099
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4927
527.9 IPS |
|
|
Image Classification (F16)
|
100% |
4868
521.6 IPS |
|
|
Image Classification (I8)
|
81% |
647
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1849
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1911
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1136
7.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
18147
73.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18164
73.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
2188
76.8 IPS |
|
|
Object Detection (F16)
|
100% |
2204
77.3 IPS |
|
|
Object Detection (I8)
|
52% |
725
25.4 IPS |
|
|
Face Detection (F32)
|
100% |
6091
70.0 IPS |
|
|
Face Detection (F16)
|
100% |
6168
70.9 IPS |
|
|
Face Detection (I8)
|
75% |
881
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
943
372.9 IPS |
|
|
Text Classification (F16)
|
100% |
944
373.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1695
261.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1699
261.9 IPS |
