iPhone 12 Pro
Geekbench ML Score
811
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 10:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
629
67.4 IPS |
|
|
Image Classification (F16)
|
100% |
600
64.2 IPS |
|
|
Image Classification (I8)
|
81% |
344
36.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
962
5.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
908
5.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
1273
7.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
310
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
301
1.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
397
1.61 IPS |
|
|
Object Detection (F32)
|
100% |
832
29.2 IPS |
|
|
Object Detection (F16)
|
100% |
844
29.6 IPS |
|
|
Object Detection (I8)
|
52% |
611
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
1043
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1015
11.7 IPS |
|
|
Face Detection (I8)
|
75% |
776
8.91 IPS |
|
|
Text Classification (F32)
|
100% |
1886
745.9 IPS |
|
|
Text Classification (F16)
|
100% |
1833
725.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1711
263.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1711
263.6 IPS |
