iPhone 12 Pro
Geekbench ML Score
890
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 02:39 PM |
| 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% |
659
70.6 IPS |
|
|
Image Classification (F16)
|
100% |
598
64.1 IPS |
|
|
Image Classification (I8)
|
81% |
441
47.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
949
5.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
937
5.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
1403
8.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
364
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
437
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
906
31.8 IPS |
|
|
Object Detection (F16)
|
100% |
915
32.1 IPS |
|
|
Object Detection (I8)
|
52% |
745
26.1 IPS |
|
|
Face Detection (F32)
|
100% |
1074
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1063
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
810
9.31 IPS |
|
|
Text Classification (F32)
|
100% |
2376
939.9 IPS |
|
|
Text Classification (F16)
|
100% |
2344
927.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1681
259.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1680
259.0 IPS |
