iPhone XR
Geekbench ML Score
1303
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 07:00 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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 | 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3774
404.3 IPS |
|
|
Image Classification (F16)
|
100% |
3761
403.0 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
8.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
1372
8.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
744
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
7165
29.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
7417
30.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4037
141.7 IPS |
|
|
Object Detection (F16)
|
94% |
4039
141.7 IPS |
|
|
Object Detection (I8)
|
52% |
564
19.8 IPS |
|
|
Face Detection (F32)
|
67% |
3702
42.5 IPS |
|
|
Face Detection (F16)
|
67% |
3693
42.4 IPS |
|
|
Face Detection (I8)
|
75% |
547
6.29 IPS |
|
|
Text Classification (F32)
|
100% |
315
124.5 IPS |
|
|
Text Classification (F16)
|
100% |
190
75.2 IPS |
|
|
Machine Translation (F32)
|
100% |
663
102.2 IPS |
|
|
Machine Translation (F16)
|
100% |
949
146.3 IPS |
