iPhone 11
Geekbench ML Score
657
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
58.8 IPS |
|
|
Image Classification (F16)
|
100% |
539
57.7 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
868
5.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
819
5.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
1100
6.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
161
0.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
307
1.24 IPS |
|
|
Object Detection (F32)
|
100% |
783
27.5 IPS |
|
|
Object Detection (F16)
|
100% |
773
27.1 IPS |
|
|
Object Detection (I8)
|
52% |
571
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
907
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
890
10.2 IPS |
|
|
Face Detection (I8)
|
75% |
702
8.07 IPS |
|
|
Text Classification (F32)
|
100% |
1776
702.6 IPS |
|
|
Text Classification (F16)
|
100% |
1745
690.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1212
186.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1194
184.1 IPS |
