iPhone 12
Geekbench ML Score
841
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2022 07:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
624
66.9 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.6 IPS |
|
|
Image Classification (I8)
|
81% |
406
43.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
946
5.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
886
5.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1339
8.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
339
1.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
331
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
416
1.69 IPS |
|
|
Object Detection (F32)
|
100% |
841
29.5 IPS |
|
|
Object Detection (F16)
|
100% |
845
29.7 IPS |
|
|
Object Detection (I8)
|
52% |
720
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1019
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
998
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
805
9.25 IPS |
|
|
Text Classification (F32)
|
100% |
1996
789.4 IPS |
|
|
Text Classification (F16)
|
100% |
2115
836.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1665
256.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1663
256.3 IPS |
