iPhone 11
Geekbench ML Score
661
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 09:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
384
41.1 IPS |
|
|
Image Classification (F16)
|
100% |
402
43.1 IPS |
|
|
Image Classification (I8)
|
81% |
315
33.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
793
4.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
783
4.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
1090
6.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
198
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
200
0.81 IPS |
|
|
Pose Estimation (I8)
|
80% |
318
1.29 IPS |
|
|
Object Detection (F32)
|
100% |
778
27.3 IPS |
|
|
Object Detection (F16)
|
100% |
770
27.0 IPS |
|
|
Object Detection (I8)
|
52% |
606
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
899
10.3 IPS |
|
|
Face Detection (F16)
|
100% |
910
10.5 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.13 IPS |
|
|
Text Classification (F32)
|
100% |
1725
682.4 IPS |
|
|
Text Classification (F16)
|
100% |
1771
700.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1194
184.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1216
187.3 IPS |
