iPhone 13 Pro
Geekbench ML Score
909
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 21 2022 06:00 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% |
755
80.9 IPS |
|
|
Image Classification (F16)
|
100% |
740
79.3 IPS |
|
|
Image Classification (I8)
|
81% |
447
47.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1060
6.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
1045
6.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1438
8.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
409
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
405
1.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
481
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1072
37.6 IPS |
|
|
Object Detection (F16)
|
100% |
1083
38.0 IPS |
|
|
Object Detection (I8)
|
52% |
755
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1296
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1266
14.5 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.78 IPS |
|
|
Text Classification (F32)
|
100% |
1056
417.5 IPS |
|
|
Text Classification (F16)
|
100% |
1058
418.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1949
300.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1946
299.8 IPS |
