iPhone 11
Geekbench ML Score
714
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
561
60.1 IPS |
|
|
Image Classification (F16)
|
100% |
542
58.1 IPS |
|
|
Image Classification (I8)
|
81% |
341
36.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
5.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
853
5.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
1118
6.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
274
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
175
0.71 IPS |
|
|
Object Detection (F32)
|
100% |
770
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
816
28.6 IPS |
|
|
Object Detection (I8)
|
52% |
616
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1023
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1006
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
723
8.30 IPS |
|
|
Text Classification (F32)
|
100% |
2000
791.1 IPS |
|
|
Text Classification (F16)
|
100% |
1786
706.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1195
184.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1185
182.7 IPS |
