iPhone XR
Geekbench ML Score
534
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.1 |
| 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 | 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% |
397
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
396
42.5 IPS |
|
|
Image Classification (I8)
|
81% |
276
29.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
684
4.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
695
4.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
950
5.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
191
0.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
192
0.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
257
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
660
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
659
23.1 IPS |
|
|
Object Detection (I8)
|
52% |
535
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
738
8.48 IPS |
|
|
Face Detection (F16)
|
100% |
730
8.39 IPS |
|
|
Face Detection (I8)
|
75% |
569
6.54 IPS |
|
|
Text Classification (F32)
|
100% |
768
303.9 IPS |
|
|
Text Classification (F16)
|
100% |
747
295.4 IPS |
|
|
Machine Translation (F32)
|
100% |
956
147.3 IPS |
|
|
Machine Translation (F16)
|
100% |
925
142.6 IPS |
