iPhone 12
Geekbench ML Score
845
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 03:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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% |
633
67.8 IPS |
|
|
Image Classification (F16)
|
100% |
606
64.9 IPS |
|
|
Image Classification (I8)
|
81% |
437
46.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
946
5.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
920
5.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
1378
8.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
348
1.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
342
1.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
428
1.73 IPS |
|
|
Object Detection (F32)
|
100% |
860
30.2 IPS |
|
|
Object Detection (F16)
|
100% |
862
30.3 IPS |
|
|
Object Detection (I8)
|
52% |
746
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1063
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1038
11.9 IPS |
|
|
Face Detection (I8)
|
75% |
813
9.34 IPS |
|
|
Text Classification (F32)
|
100% |
2423
958.2 IPS |
|
|
Text Classification (F16)
|
100% |
1975
781.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1703
262.5 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.1 IPS |
