iPhone XR
Geekbench ML Score
540
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 09:17 PM |
| Views | 1 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
473
50.6 IPS |
|
|
Image Classification (F16)
|
100% |
447
47.9 IPS |
|
|
Image Classification (I8)
|
81% |
286
30.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
756
4.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
741
4.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
952
5.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
152
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
676
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
673
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
522
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
746
8.57 IPS |
|
|
Face Detection (F16)
|
100% |
749
8.61 IPS |
|
|
Face Detection (I8)
|
75% |
563
6.47 IPS |
|
|
Text Classification (F32)
|
100% |
780
308.6 IPS |
|
|
Text Classification (F16)
|
100% |
780
308.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1000
154.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1001
154.3 IPS |
