iPhone 8
Geekbench ML Score
416
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 09:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
223
23.9 IPS |
|
|
Image Classification (F16)
|
100% |
236
25.3 IPS |
|
|
Image Classification (I8)
|
81% |
354
38.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
733
4.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
744
4.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
642
3.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
547
2.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
596
2.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
463
16.3 IPS |
|
|
Object Detection (F16)
|
100% |
613
21.5 IPS |
|
|
Object Detection (I8)
|
52% |
505
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
689
7.92 IPS |
|
|
Face Detection (F16)
|
100% |
770
8.85 IPS |
|
|
Face Detection (I8)
|
75% |
463
5.32 IPS |
|
|
Text Classification (F32)
|
100% |
106
41.8 IPS |
|
|
Text Classification (F16)
|
100% |
113
44.8 IPS |
|
|
Machine Translation (F32)
|
100% |
746
114.9 IPS |
|
|
Machine Translation (F16)
|
100% |
744
114.7 IPS |
