iPhone 13
Geekbench ML Score
1734
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 03:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1377
147.6 IPS |
|
|
Image Classification (F16)
|
100% |
1443
154.6 IPS |
|
|
Image Classification (I8)
|
81% |
646
69.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5277
32.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7338
45.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1142
7.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
1769
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
4195
17.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
215
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
1776
62.3 IPS |
|
|
Object Detection (F16)
|
100% |
3126
109.7 IPS |
|
|
Object Detection (I8)
|
52% |
911
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
4833
55.5 IPS |
|
|
Face Detection (F16)
|
97% |
5841
67.1 IPS |
|
|
Face Detection (I8)
|
75% |
859
9.87 IPS |
|
|
Text Classification (F32)
|
100% |
986
390.1 IPS |
|
|
Text Classification (F16)
|
100% |
1109
438.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1672
257.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1732
266.9 IPS |
