iPhone XR
Geekbench ML Score
1054
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 04:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3089
331.0 IPS |
|
|
Image Classification (F16)
|
100% |
3089
331.0 IPS |
|
|
Image Classification (I8)
|
81% |
274
29.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1005
6.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1007
6.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
511
3.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
4714
19.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
4943
20.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.39 IPS |
|
|
Object Detection (F32)
|
94% |
3008
105.6 IPS |
|
|
Object Detection (F16)
|
94% |
2988
104.8 IPS |
|
|
Object Detection (I8)
|
52% |
385
13.5 IPS |
|
|
Face Detection (F32)
|
67% |
3619
41.6 IPS |
|
|
Face Detection (F16)
|
67% |
3621
41.6 IPS |
|
|
Face Detection (I8)
|
75% |
381
4.37 IPS |
|
|
Text Classification (F32)
|
100% |
324
128.2 IPS |
|
|
Text Classification (F16)
|
100% |
335
132.4 IPS |
|
|
Machine Translation (F32)
|
100% |
692
106.7 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
