iPhone XR
Geekbench ML Score
543
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 12:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| 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% |
433
46.3 IPS |
|
|
Image Classification (F16)
|
100% |
426
45.6 IPS |
|
|
Image Classification (I8)
|
81% |
271
29.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
688
4.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
681
4.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
940
5.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
196
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
219
0.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
259
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
627
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
660
23.2 IPS |
|
|
Object Detection (I8)
|
52% |
484
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
804
9.24 IPS |
|
|
Face Detection (F16)
|
100% |
794
9.12 IPS |
|
|
Face Detection (I8)
|
75% |
562
6.46 IPS |
|
|
Text Classification (F32)
|
100% |
761
300.8 IPS |
|
|
Text Classification (F16)
|
100% |
764
302.0 IPS |
|
|
Machine Translation (F32)
|
100% |
933
143.7 IPS |
|
|
Machine Translation (F16)
|
100% |
974
150.2 IPS |
