iPhone 12 Pro
Geekbench ML Score
861
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 04:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
620
66.5 IPS |
|
|
Image Classification (F16)
|
100% |
598
64.1 IPS |
|
|
Image Classification (I8)
|
81% |
418
44.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
948
5.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
912
5.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
1368
8.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
352
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
347
1.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
426
1.73 IPS |
|
|
Object Detection (F32)
|
100% |
889
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
878
30.8 IPS |
|
|
Object Detection (I8)
|
52% |
710
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
1054
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1021
11.7 IPS |
|
|
Face Detection (I8)
|
75% |
804
9.24 IPS |
|
|
Text Classification (F32)
|
100% |
2297
908.4 IPS |
|
|
Text Classification (F16)
|
100% |
1932
764.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1693
261.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1706
263.0 IPS |
