iPhone 12 Pro
Geekbench ML Score
840
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 10:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
637
68.2 IPS |
|
|
Image Classification (F16)
|
100% |
588
63.0 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
979
6.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
930
5.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
1345
8.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
347
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
340
1.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
425
1.72 IPS |
|
|
Object Detection (F32)
|
100% |
837
29.4 IPS |
|
|
Object Detection (F16)
|
100% |
839
29.4 IPS |
|
|
Object Detection (I8)
|
52% |
704
24.7 IPS |
|
|
Face Detection (F32)
|
100% |
1029
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
993
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
808
9.29 IPS |
|
|
Text Classification (F32)
|
100% |
1797
710.8 IPS |
|
|
Text Classification (F16)
|
100% |
1918
758.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1659
255.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1659
255.7 IPS |
