iPhone XR
Geekbench ML Score
537
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone XR |
| Model ID | iPhone11,8 |
| Motherboard | N841AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
462
49.5 IPS |
|
|
Image Classification (F16)
|
100% |
464
49.7 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
754
4.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
743
4.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
959
5.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
153
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
682
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
680
23.8 IPS |
|
|
Object Detection (I8)
|
52% |
517
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
745
8.55 IPS |
|
|
Face Detection (F16)
|
100% |
702
8.07 IPS |
|
|
Face Detection (I8)
|
75% |
577
6.63 IPS |
|
|
Text Classification (F32)
|
100% |
784
309.9 IPS |
|
|
Text Classification (F16)
|
100% |
782
309.2 IPS |
|
|
Machine Translation (F32)
|
100% |
994
153.3 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.0 IPS |
