iPhone XR
Geekbench ML Score
552
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 03:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
481
51.5 IPS |
|
|
Image Classification (F16)
|
100% |
463
49.6 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
735
4.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
704
4.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
934
5.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
203
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
218
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
640
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
628
22.0 IPS |
|
|
Object Detection (I8)
|
52% |
529
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
808
9.29 IPS |
|
|
Face Detection (F16)
|
100% |
779
8.95 IPS |
|
|
Face Detection (I8)
|
75% |
606
6.96 IPS |
|
|
Text Classification (F32)
|
100% |
753
297.9 IPS |
|
|
Text Classification (F16)
|
100% |
721
285.1 IPS |
|
|
Machine Translation (F32)
|
100% |
915
141.1 IPS |
|
|
Machine Translation (F16)
|
100% |
953
146.8 IPS |
