iPhone 13 Pro
Geekbench ML Score
2542
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 15 2022 01:31 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5873
629.3 IPS |
|
|
Image Classification (F16)
|
100% |
5489
588.1 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2185
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2099
13.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1058
6.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
21822
88.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
22314
90.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
197
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
6183
217.0 IPS |
|
|
Object Detection (F16)
|
100% |
6430
225.6 IPS |
|
|
Object Detection (I8)
|
52% |
833
29.2 IPS |
|
|
Face Detection (F32)
|
100% |
7697
88.4 IPS |
|
|
Face Detection (F16)
|
100% |
7721
88.7 IPS |
|
|
Face Detection (I8)
|
75% |
789
9.07 IPS |
|
|
Text Classification (F32)
|
100% |
1006
397.9 IPS |
|
|
Text Classification (F16)
|
100% |
945
373.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1772
273.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1835
282.8 IPS |
