iPhone XR
Geekbench ML Score
418
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:16 PM |
| Views | 1 |
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% |
324
34.7 IPS |
|
|
Image Classification (F16)
|
100% |
324
34.7 IPS |
|
|
Image Classification (I8)
|
81% |
270
28.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
543
3.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
544
3.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
765
4.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
147
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
194
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
474
16.6 IPS |
|
|
Object Detection (F16)
|
100% |
472
16.6 IPS |
|
|
Object Detection (I8)
|
52% |
477
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
595
6.84 IPS |
|
|
Face Detection (F16)
|
100% |
594
6.83 IPS |
|
|
Face Detection (I8)
|
75% |
504
5.79 IPS |
|
|
Text Classification (F32)
|
100% |
533
210.7 IPS |
|
|
Text Classification (F16)
|
100% |
536
212.0 IPS |
|
|
Machine Translation (F32)
|
100% |
667
102.7 IPS |
|
|
Machine Translation (F16)
|
100% |
667
102.8 IPS |
