iPhone 12 Pro
Geekbench ML Score
829
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 09:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
634
67.9 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.6 IPS |
|
|
Image Classification (I8)
|
81% |
423
45.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
941
5.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
885
5.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
1367
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
339
1.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
330
1.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
414
1.67 IPS |
|
|
Object Detection (F32)
|
100% |
794
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
800
28.1 IPS |
|
|
Object Detection (I8)
|
52% |
708
24.8 IPS |
|
|
Face Detection (F32)
|
100% |
999
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
970
11.1 IPS |
|
|
Face Detection (I8)
|
75% |
808
9.28 IPS |
|
|
Text Classification (F32)
|
100% |
2013
796.2 IPS |
|
|
Text Classification (F16)
|
100% |
1812
716.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1652
254.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
258.4 IPS |
