iPhone 12
Geekbench ML Score
840
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 11:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
623
66.8 IPS |
|
|
Image Classification (F16)
|
100% |
590
63.2 IPS |
|
|
Image Classification (I8)
|
81% |
408
43.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
948
5.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
916
5.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
1354
8.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
348
1.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
343
1.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
422
1.71 IPS |
|
|
Object Detection (F32)
|
100% |
841
29.5 IPS |
|
|
Object Detection (F16)
|
100% |
840
29.5 IPS |
|
|
Object Detection (I8)
|
52% |
706
24.8 IPS |
|
|
Face Detection (F32)
|
100% |
1048
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1018
11.7 IPS |
|
|
Face Detection (I8)
|
75% |
811
9.31 IPS |
|
|
Text Classification (F32)
|
100% |
1796
710.5 IPS |
|
|
Text Classification (F16)
|
100% |
1877
742.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1692
260.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1678
258.6 IPS |
