iPhone 12
Geekbench ML Score
862
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 16 2021 02:55 AM |
| Views | 3 |
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% |
632
67.8 IPS |
|
|
Image Classification (F16)
|
100% |
609
65.3 IPS |
|
|
Image Classification (I8)
|
81% |
441
47.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
992
6.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
980
6.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
1407
8.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
363
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
358
1.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
444
1.80 IPS |
|
|
Object Detection (F32)
|
100% |
724
25.4 IPS |
|
|
Object Detection (F16)
|
100% |
726
25.5 IPS |
|
|
Object Detection (I8)
|
52% |
574
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
1090
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1080
12.4 IPS |
|
|
Face Detection (I8)
|
75% |
813
9.35 IPS |
|
|
Text Classification (F32)
|
100% |
2341
926.0 IPS |
|
|
Text Classification (F16)
|
100% |
2375
939.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1682
259.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1681
259.1 IPS |
