iPhone 11
Geekbench ML Score
717
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 08:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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% |
549
58.9 IPS |
|
|
Image Classification (F16)
|
100% |
536
57.5 IPS |
|
|
Image Classification (I8)
|
81% |
326
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
876
5.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
862
5.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
1109
6.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
336
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
787
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
785
27.5 IPS |
|
|
Object Detection (I8)
|
52% |
582
20.4 IPS |
|
|
Face Detection (F32)
|
100% |
988
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
986
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
712
8.18 IPS |
|
|
Text Classification (F32)
|
100% |
1623
642.0 IPS |
|
|
Text Classification (F16)
|
100% |
1625
642.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1138
175.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1181
182.0 IPS |
