iPhone 13 Pro
Geekbench ML Score
900
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 21 2022 06:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
741
79.4 IPS |
|
|
Image Classification (F16)
|
100% |
712
76.3 IPS |
|
|
Image Classification (I8)
|
81% |
469
50.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1054
6.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
6.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1448
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
388
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
372
1.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
478
1.93 IPS |
|
|
Object Detection (F32)
|
100% |
1077
37.8 IPS |
|
|
Object Detection (F16)
|
100% |
1081
37.9 IPS |
|
|
Object Detection (I8)
|
52% |
734
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
1269
14.6 IPS |
|
|
Face Detection (F16)
|
100% |
1235
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
841
9.66 IPS |
|
|
Text Classification (F32)
|
100% |
1124
444.7 IPS |
|
|
Text Classification (F16)
|
100% |
1059
418.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1956
301.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1949
300.4 IPS |
