iPhone XR
Geekbench ML Score
551
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 10:10 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
461
49.4 IPS |
|
|
Image Classification (F16)
|
100% |
456
48.9 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
753
4.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
752
4.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
950
5.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
184
0.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
177
0.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
251
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
675
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
677
23.8 IPS |
|
|
Object Detection (I8)
|
52% |
517
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
761
8.75 IPS |
|
|
Face Detection (F16)
|
100% |
758
8.71 IPS |
|
|
Face Detection (I8)
|
75% |
575
6.61 IPS |
|
|
Text Classification (F32)
|
100% |
781
309.0 IPS |
|
|
Text Classification (F16)
|
100% |
785
310.3 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.3 IPS |
|
|
Machine Translation (F16)
|
100% |
994
153.1 IPS |
