iPhone 12 Pro
Geekbench ML Score
2020
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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 | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4741
508.0 IPS |
|
|
Image Classification (F16)
|
100% |
4781
512.3 IPS |
|
|
Image Classification (I8)
|
81% |
592
63.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1760
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1733
10.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1067
6.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
17773
71.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
16866
68.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
202
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
2154
75.6 IPS |
|
|
Object Detection (F16)
|
100% |
2145
75.3 IPS |
|
|
Object Detection (I8)
|
52% |
673
23.6 IPS |
|
|
Face Detection (F32)
|
100% |
6023
69.2 IPS |
|
|
Face Detection (F16)
|
100% |
6010
69.0 IPS |
|
|
Face Detection (I8)
|
75% |
817
9.39 IPS |
|
|
Text Classification (F32)
|
100% |
969
383.1 IPS |
|
|
Text Classification (F16)
|
100% |
959
379.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1682
259.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
258.0 IPS |
