iPhone 12 Pro
Geekbench ML Score
848
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2022 07:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
630
67.5 IPS |
|
|
Image Classification (F16)
|
100% |
594
63.7 IPS |
|
|
Image Classification (I8)
|
81% |
414
44.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
965
5.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
5.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
1358
8.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
346
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
339
1.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
421
1.71 IPS |
|
|
Object Detection (F32)
|
100% |
857
30.1 IPS |
|
|
Object Detection (F16)
|
100% |
846
29.7 IPS |
|
|
Object Detection (I8)
|
52% |
741
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1026
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
1000
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
812
9.33 IPS |
|
|
Text Classification (F32)
|
100% |
2006
793.3 IPS |
|
|
Text Classification (F16)
|
100% |
1879
743.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1674
258.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1659
255.6 IPS |
