iPhone 12
Geekbench ML Score
880
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 10:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
617
66.1 IPS |
|
|
Image Classification (F16)
|
100% |
596
63.8 IPS |
|
|
Image Classification (I8)
|
81% |
439
47.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
982
6.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
942
5.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1380
8.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
351
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
349
1.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
430
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
888
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
885
31.1 IPS |
|
|
Object Detection (I8)
|
52% |
750
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1064
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1039
11.9 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
2348
928.5 IPS |
|
|
Text Classification (F16)
|
100% |
2345
927.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1680
258.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1675
258.1 IPS |
