iPhone 11 Pro
Geekbench ML Score
1623
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | August 08 2023 04:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| 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% |
4317
462.6 IPS |
|
|
Image Classification (F16)
|
100% |
4345
465.5 IPS |
|
|
Image Classification (I8)
|
81% |
398
42.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1240
7.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
1229
7.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
763
4.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
7102
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
6989
28.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
135
0.54 IPS |
|
|
Object Detection (F32)
|
94% |
4562
160.1 IPS |
|
|
Object Detection (F16)
|
94% |
4795
168.3 IPS |
|
|
Object Detection (I8)
|
52% |
603
21.2 IPS |
|
|
Face Detection (F32)
|
67% |
4721
54.2 IPS |
|
|
Face Detection (F16)
|
67% |
5174
59.4 IPS |
|
|
Face Detection (I8)
|
75% |
525
6.03 IPS |
|
|
Text Classification (F32)
|
100% |
831
328.5 IPS |
|
|
Text Classification (F16)
|
100% |
884
349.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1176
181.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1177
181.3 IPS |
