iPhone XR
Geekbench ML Score
516
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:05 AM |
| Views | 1 |
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% |
445
47.6 IPS |
|
|
Image Classification (F16)
|
100% |
448
48.0 IPS |
|
|
Image Classification (I8)
|
81% |
271
29.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
735
4.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
2.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
832
5.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
166
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
169
0.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
672
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
646
22.7 IPS |
|
|
Object Detection (I8)
|
52% |
504
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
748
8.59 IPS |
|
|
Face Detection (F16)
|
100% |
709
8.14 IPS |
|
|
Face Detection (I8)
|
75% |
558
6.41 IPS |
|
|
Text Classification (F32)
|
100% |
777
307.4 IPS |
|
|
Text Classification (F16)
|
100% |
751
297.2 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.3 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.9 IPS |
