iPhone XR
Geekbench ML Score
1358
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 09:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | 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% |
3821
409.4 IPS |
|
|
Image Classification (F16)
|
100% |
3803
407.5 IPS |
|
|
Image Classification (I8)
|
81% |
399
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1396
8.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
1386
8.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
716
4.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
7331
29.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
7226
29.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
94% |
3965
139.2 IPS |
|
|
Object Detection (F16)
|
94% |
3986
139.9 IPS |
|
|
Object Detection (I8)
|
52% |
555
19.5 IPS |
|
|
Face Detection (F32)
|
67% |
3761
43.2 IPS |
|
|
Face Detection (F16)
|
67% |
3772
43.3 IPS |
|
|
Face Detection (I8)
|
75% |
532
6.11 IPS |
|
|
Text Classification (F32)
|
100% |
312
123.3 IPS |
|
|
Text Classification (F16)
|
100% |
333
131.8 IPS |
|
|
Machine Translation (F32)
|
100% |
913
140.7 IPS |
|
|
Machine Translation (F16)
|
100% |
924
142.3 IPS |
