iPhone XR
Geekbench ML Score
532
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:23 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
460
49.3 IPS |
|
|
Image Classification (F16)
|
100% |
443
47.5 IPS |
|
|
Image Classification (I8)
|
81% |
284
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
747
4.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
730
4.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
939
5.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
672
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
649
22.8 IPS |
|
|
Object Detection (I8)
|
52% |
521
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
732
8.41 IPS |
|
|
Face Detection (F16)
|
100% |
705
8.10 IPS |
|
|
Face Detection (I8)
|
75% |
550
6.32 IPS |
|
|
Text Classification (F32)
|
100% |
782
309.3 IPS |
|
|
Text Classification (F16)
|
100% |
784
310.0 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.5 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.9 IPS |
