iPhone 11 Pro
Geekbench ML Score
724
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 04:55 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% |
555
59.5 IPS |
|
|
Image Classification (F16)
|
100% |
544
58.3 IPS |
|
|
Image Classification (I8)
|
81% |
328
35.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
867
5.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
5.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
1119
6.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
283
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
785
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
782
27.4 IPS |
|
|
Object Detection (I8)
|
52% |
606
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
901
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
924
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
707
8.12 IPS |
|
|
Text Classification (F32)
|
100% |
1980
783.2 IPS |
|
|
Text Classification (F16)
|
100% |
1982
783.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1211
186.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1208
186.2 IPS |
