iPhone 12 Pro
Geekbench ML Score
870
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
618
66.2 IPS |
|
|
Image Classification (F16)
|
100% |
601
64.3 IPS |
|
|
Image Classification (I8)
|
81% |
417
44.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
955
5.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
923
5.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
1376
8.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
351
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
345
1.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
425
1.72 IPS |
|
|
Object Detection (F32)
|
100% |
876
30.7 IPS |
|
|
Object Detection (F16)
|
100% |
871
30.6 IPS |
|
|
Object Detection (I8)
|
52% |
722
25.4 IPS |
|
|
Face Detection (F32)
|
100% |
1048
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1013
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
807
9.28 IPS |
|
|
Text Classification (F32)
|
100% |
2403
950.4 IPS |
|
|
Text Classification (F16)
|
100% |
2339
925.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1678
258.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1672
257.6 IPS |
