iPhone 12
Geekbench ML Score
739
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 06:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
622
66.6 IPS |
|
|
Image Classification (F16)
|
100% |
460
49.3 IPS |
|
|
Image Classification (I8)
|
81% |
716
76.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
572
3.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
555
3.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1277
7.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
263
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
234
0.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
307
1.24 IPS |
|
|
Object Detection (F32)
|
100% |
689
24.2 IPS |
|
|
Object Detection (F16)
|
100% |
640
22.5 IPS |
|
|
Object Detection (I8)
|
52% |
921
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
606
6.96 IPS |
|
|
Face Detection (F16)
|
100% |
659
7.58 IPS |
|
|
Face Detection (I8)
|
75% |
975
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
1963
776.3 IPS |
|
|
Text Classification (F16)
|
100% |
2351
929.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1689
260.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1672
257.7 IPS |
