iPhone 12
Geekbench ML Score
854
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
601
64.4 IPS |
|
|
Image Classification (F16)
|
100% |
564
60.4 IPS |
|
|
Image Classification (I8)
|
81% |
408
43.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
926
5.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
886
5.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1365
8.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
340
1.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
332
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
417
1.69 IPS |
|
|
Object Detection (F32)
|
100% |
843
29.6 IPS |
|
|
Object Detection (F16)
|
100% |
848
29.8 IPS |
|
|
Object Detection (I8)
|
52% |
709
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
1037
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
1008
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
809
9.30 IPS |
|
|
Text Classification (F32)
|
100% |
2414
954.9 IPS |
|
|
Text Classification (F16)
|
100% |
2340
925.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1683
259.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1681
259.1 IPS |
