iPhone 12
Geekbench ML Score
808
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 07:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
622
66.7 IPS |
|
|
Image Classification (F16)
|
100% |
568
60.9 IPS |
|
|
Image Classification (I8)
|
81% |
406
43.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
894
5.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
830
5.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
1333
8.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
321
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
401
1.62 IPS |
|
|
Object Detection (F32)
|
100% |
800
28.1 IPS |
|
|
Object Detection (F16)
|
100% |
797
28.0 IPS |
|
|
Object Detection (I8)
|
52% |
728
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
945
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
911
10.5 IPS |
|
|
Face Detection (I8)
|
75% |
878
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1907
754.2 IPS |
|
|
Text Classification (F16)
|
100% |
1615
638.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1690
260.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1695
261.2 IPS |
