iPhone XR
Geekbench ML Score
512
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 09:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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 | 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% |
457
49.0 IPS |
|
|
Image Classification (F16)
|
100% |
448
48.0 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
735
4.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
731
4.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
956
5.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
208
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
646
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
667
23.4 IPS |
|
|
Object Detection (I8)
|
52% |
555
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
614
7.05 IPS |
|
|
Face Detection (F16)
|
100% |
615
7.06 IPS |
|
|
Face Detection (I8)
|
75% |
552
6.34 IPS |
|
|
Text Classification (F32)
|
100% |
763
301.7 IPS |
|
|
Text Classification (F16)
|
100% |
778
307.7 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.6 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.0 IPS |
