iPhone 11
Geekbench ML Score
647
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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% |
551
59.0 IPS |
|
|
Image Classification (F16)
|
100% |
538
57.7 IPS |
|
|
Image Classification (I8)
|
81% |
327
35.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
859
5.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
5.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
1106
6.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
172
0.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
325
1.32 IPS |
|
|
Object Detection (F32)
|
100% |
615
21.6 IPS |
|
|
Object Detection (F16)
|
100% |
604
21.2 IPS |
|
|
Object Detection (I8)
|
52% |
488
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
924
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
905
10.4 IPS |
|
|
Face Detection (I8)
|
75% |
707
8.12 IPS |
|
|
Text Classification (F32)
|
100% |
1906
753.7 IPS |
|
|
Text Classification (F16)
|
100% |
1961
775.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1158
178.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1201
185.1 IPS |
