iPhone XR
Geekbench ML Score
569
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 10:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| 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 | 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% |
463
49.6 IPS |
|
|
Image Classification (F16)
|
100% |
450
48.2 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
4.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
743
4.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
957
5.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
231
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
201
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
704
24.7 IPS |
|
|
Object Detection (F16)
|
100% |
722
25.3 IPS |
|
|
Object Detection (I8)
|
52% |
540
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
890
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
867
9.96 IPS |
|
|
Face Detection (I8)
|
75% |
641
7.37 IPS |
|
|
Text Classification (F32)
|
100% |
735
290.8 IPS |
|
|
Text Classification (F16)
|
100% |
761
301.0 IPS |
|
|
Machine Translation (F32)
|
100% |
950
146.4 IPS |
|
|
Machine Translation (F16)
|
100% |
964
148.6 IPS |
