iPhone 12
Geekbench ML Score
2423
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 09:28 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5191
556.2 IPS |
|
|
Image Classification (F16)
|
100% |
5141
550.9 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1891
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1924
11.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1161
7.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
17218
69.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17308
70.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
222
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
6370
223.6 IPS |
|
|
Object Detection (F16)
|
100% |
6377
223.8 IPS |
|
|
Object Detection (I8)
|
52% |
920
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
6814
78.3 IPS |
|
|
Face Detection (F16)
|
100% |
6837
78.6 IPS |
|
|
Face Detection (I8)
|
75% |
898
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
987
390.3 IPS |
|
|
Text Classification (F16)
|
100% |
978
386.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1669
257.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1667
256.9 IPS |
