iPhone 12 Pro
Geekbench ML Score
1822
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | July 23 2021 02:35 AM |
| Views | 44 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4599
492.7 IPS |
|
|
Image Classification (F16)
|
100% |
4825
517.0 IPS |
|
|
Image Classification (I8)
|
81% |
387
41.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1399
8.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
1546
9.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
944
5.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
17780
71.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
18156
73.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
187
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
3541
124.3 IPS |
|
|
Object Detection (F16)
|
100% |
3859
135.4 IPS |
|
|
Object Detection (I8)
|
52% |
487
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
4731
54.4 IPS |
|
|
Face Detection (F16)
|
100% |
4550
52.3 IPS |
|
|
Face Detection (I8)
|
75% |
542
6.23 IPS |
|
|
Text Classification (F32)
|
100% |
832
329.2 IPS |
|
|
Text Classification (F16)
|
100% |
843
333.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1447
223.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
166.0 IPS |
