iPhone 11
Geekbench ML Score
635
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
367
39.3 IPS |
|
|
Image Classification (F16)
|
100% |
384
41.1 IPS |
|
|
Image Classification (I8)
|
81% |
301
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
742
4.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
728
4.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
1074
6.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
184
0.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
182
0.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
301
1.22 IPS |
|
|
Object Detection (F32)
|
100% |
782
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
774
27.2 IPS |
|
|
Object Detection (I8)
|
52% |
590
20.7 IPS |
|
|
Face Detection (F32)
|
100% |
781
8.97 IPS |
|
|
Face Detection (F16)
|
100% |
767
8.81 IPS |
|
|
Face Detection (I8)
|
75% |
680
7.81 IPS |
|
|
Text Classification (F32)
|
100% |
1833
725.2 IPS |
|
|
Text Classification (F16)
|
100% |
1914
757.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1201
185.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1196
184.3 IPS |
