iPhone 11
Geekbench ML Score
718
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 10:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | 3.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
555
59.5 IPS |
|
|
Image Classification (F16)
|
100% |
539
57.7 IPS |
|
|
Image Classification (I8)
|
81% |
331
35.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
856
5.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
846
5.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
1119
6.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
271
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
259
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
781
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
784
27.5 IPS |
|
|
Object Detection (I8)
|
52% |
606
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
888
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
920
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
711
8.17 IPS |
|
|
Text Classification (F32)
|
100% |
2011
795.4 IPS |
|
|
Text Classification (F16)
|
100% |
2018
798.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
185.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1207
186.1 IPS |
