iPhone 11 Pro
Geekbench ML Score
1836
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 08:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4791
513.4 IPS |
|
|
Image Classification (F16)
|
100% |
4767
510.7 IPS |
|
|
Image Classification (I8)
|
81% |
450
48.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1455
8.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1473
9.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
825
5.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
8934
36.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8498
34.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5928
208.0 IPS |
|
|
Object Detection (F16)
|
94% |
5642
198.0 IPS |
|
|
Object Detection (I8)
|
52% |
642
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
5818
66.8 IPS |
|
|
Face Detection (F16)
|
67% |
5840
67.1 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.29 IPS |
|
|
Text Classification (F32)
|
100% |
851
336.5 IPS |
|
|
Text Classification (F16)
|
100% |
838
331.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1219
187.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1215
187.2 IPS |
