iPhone XR
Geekbench ML Score
515
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 12:17 PM |
| Views | 2 |
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% |
455
48.7 IPS |
|
|
Image Classification (F16)
|
100% |
446
47.8 IPS |
|
|
Image Classification (I8)
|
81% |
280
30.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
732
4.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
700
4.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
722
4.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
633
22.2 IPS |
|
|
Object Detection (F16)
|
100% |
669
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
510
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
702
8.06 IPS |
|
|
Face Detection (F16)
|
100% |
704
8.09 IPS |
|
|
Face Detection (I8)
|
75% |
535
6.14 IPS |
|
|
Text Classification (F32)
|
100% |
782
309.2 IPS |
|
|
Text Classification (F16)
|
100% |
766
303.0 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.8 IPS |
