iPhone 13
Geekbench ML Score
2742
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 09:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5595
599.5 IPS |
|
|
Image Classification (F16)
|
100% |
5580
597.9 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2074
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2139
13.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1211
7.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
23567
95.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
23229
94.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
6992
245.4 IPS |
|
|
Object Detection (F16)
|
100% |
7001
245.7 IPS |
|
|
Object Detection (I8)
|
52% |
962
33.8 IPS |
|
|
Face Detection (F32)
|
100% |
8157
93.7 IPS |
|
|
Face Detection (F16)
|
100% |
8107
93.1 IPS |
|
|
Face Detection (I8)
|
75% |
920
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1128
446.1 IPS |
|
|
Text Classification (F16)
|
100% |
1125
444.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1972
304.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1974
304.2 IPS |
