iPhone XR
Geekbench ML Score
507
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | July 22 2021 09:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
368
39.4 IPS |
|
|
Image Classification (F16)
|
100% |
380
40.7 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
665
4.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
672
4.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
927
5.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
188
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
172
0.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
654
23.0 IPS |
|
|
Object Detection (F16)
|
100% |
653
22.9 IPS |
|
|
Object Detection (I8)
|
52% |
532
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
688
7.90 IPS |
|
|
Face Detection (F16)
|
100% |
640
7.35 IPS |
|
|
Face Detection (I8)
|
75% |
553
6.36 IPS |
|
|
Text Classification (F32)
|
100% |
710
280.9 IPS |
|
|
Text Classification (F16)
|
100% |
674
266.5 IPS |
|
|
Machine Translation (F32)
|
100% |
863
132.9 IPS |
|
|
Machine Translation (F16)
|
100% |
917
141.3 IPS |
