iPhone 11 Pro
Geekbench ML Score
678
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | July 22 2021 09:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
553
59.3 IPS |
|
|
Image Classification (F16)
|
100% |
546
58.5 IPS |
|
|
Image Classification (I8)
|
81% |
322
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
5.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
858
5.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
1111
6.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
278
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
127
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
634
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
781
27.4 IPS |
|
|
Object Detection (I8)
|
52% |
594
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
863
9.91 IPS |
|
|
Face Detection (F16)
|
100% |
895
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
704
8.09 IPS |
|
|
Text Classification (F32)
|
100% |
1835
725.6 IPS |
|
|
Text Classification (F16)
|
100% |
1846
730.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1212
186.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1213
187.0 IPS |
