iPhone 11
Geekbench ML Score
699
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 11 2023 10:01 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| 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 | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
543
58.1 IPS |
|
|
Image Classification (F16)
|
100% |
528
56.6 IPS |
|
|
Image Classification (I8)
|
81% |
314
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
5.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
829
5.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1076
6.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
262
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
320
1.30 IPS |
|
|
Object Detection (F32)
|
100% |
748
26.2 IPS |
|
|
Object Detection (F16)
|
100% |
753
26.4 IPS |
|
|
Object Detection (I8)
|
52% |
597
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
957
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
946
10.9 IPS |
|
|
Face Detection (I8)
|
75% |
709
8.14 IPS |
|
|
Text Classification (F32)
|
100% |
1673
661.9 IPS |
|
|
Text Classification (F16)
|
100% |
1753
693.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1066
164.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1103
169.9 IPS |
