iPhone 11 Pro
Geekbench ML Score
706
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:47 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
58.8 IPS |
|
|
Image Classification (F16)
|
100% |
540
57.9 IPS |
|
|
Image Classification (I8)
|
81% |
284
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
862
5.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
852
5.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1108
6.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
274
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
313
1.27 IPS |
|
|
Object Detection (F32)
|
100% |
780
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
770
27.0 IPS |
|
|
Object Detection (I8)
|
52% |
558
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
921
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
933
10.7 IPS |
|
|
Face Detection (I8)
|
75% |
691
7.94 IPS |
|
|
Text Classification (F32)
|
100% |
1723
681.4 IPS |
|
|
Text Classification (F16)
|
100% |
1734
685.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1214
187.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1212
186.9 IPS |
