iPhone XR
Geekbench ML Score
533
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 06:55 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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 | 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% |
467
50.0 IPS |
|
|
Image Classification (F16)
|
100% |
461
49.4 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
744
4.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
717
4.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
937
5.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
222
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
636
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
652
22.9 IPS |
|
|
Object Detection (I8)
|
52% |
523
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
660
7.58 IPS |
|
|
Face Detection (F16)
|
100% |
701
8.06 IPS |
|
|
Face Detection (I8)
|
75% |
530
6.09 IPS |
|
|
Text Classification (F32)
|
100% |
788
311.8 IPS |
|
|
Text Classification (F16)
|
100% |
782
309.1 IPS |
|
|
Machine Translation (F32)
|
100% |
988
152.3 IPS |
|
|
Machine Translation (F16)
|
100% |
990
152.6 IPS |
