iPhone 12 Pro
Geekbench ML Score
1564
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2022 04:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1238
132.7 IPS |
|
|
Image Classification (F16)
|
100% |
1616
173.2 IPS |
|
|
Image Classification (I8)
|
81% |
608
65.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4160
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
5666
35.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1092
6.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
1486
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
4967
20.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
1618
56.8 IPS |
|
|
Object Detection (F16)
|
99% |
1686
59.2 IPS |
|
|
Object Detection (I8)
|
52% |
835
29.3 IPS |
|
|
Face Detection (F32)
|
100% |
4264
49.0 IPS |
|
|
Face Detection (F16)
|
97% |
5486
63.0 IPS |
|
|
Face Detection (I8)
|
75% |
781
8.97 IPS |
|
|
Text Classification (F32)
|
100% |
855
338.2 IPS |
|
|
Text Classification (F16)
|
98% |
1091
431.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1687
260.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1690
260.5 IPS |
