iPhone XR
Geekbench ML Score
559
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2022 06:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
458
49.1 IPS |
|
|
Image Classification (F16)
|
100% |
447
47.9 IPS |
|
|
Image Classification (I8)
|
81% |
284
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
749
4.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
738
4.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
952
5.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
196
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
209
0.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
671
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
665
23.3 IPS |
|
|
Object Detection (I8)
|
52% |
526
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
805
9.24 IPS |
|
|
Face Detection (F16)
|
100% |
759
8.72 IPS |
|
|
Face Detection (I8)
|
75% |
585
6.73 IPS |
|
|
Text Classification (F32)
|
100% |
783
309.6 IPS |
|
|
Text Classification (F16)
|
100% |
767
303.3 IPS |
|
|
Machine Translation (F32)
|
100% |
999
154.0 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.5 IPS |
