iPhone 11
Geekbench ML Score
1647
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 05:33 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3165
339.1 IPS |
|
|
Image Classification (F16)
|
100% |
3068
328.7 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1571
9.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1561
9.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8533
34.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8497
34.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5155
180.9 IPS |
|
|
Object Detection (F16)
|
94% |
4984
174.9 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
4052
46.6 IPS |
|
|
Face Detection (F16)
|
67% |
4247
48.8 IPS |
|
|
Face Detection (I8)
|
75% |
632
7.26 IPS |
|
|
Text Classification (F32)
|
100% |
721
285.3 IPS |
|
|
Text Classification (F16)
|
100% |
701
277.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1207
186.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1203
185.4 IPS |
