iPhone 8
Geekbench ML Score
394
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 06:52 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
233
25.0 IPS |
|
|
Image Classification (F16)
|
100% |
230
24.6 IPS |
|
|
Image Classification (I8)
|
81% |
338
36.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
662
4.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
688
4.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
464
2.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
505
2.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
465
16.3 IPS |
|
|
Object Detection (F16)
|
100% |
656
23.0 IPS |
|
|
Object Detection (I8)
|
52% |
501
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
653
7.50 IPS |
|
|
Face Detection (F16)
|
100% |
709
8.15 IPS |
|
|
Face Detection (I8)
|
75% |
451
5.19 IPS |
|
|
Text Classification (F32)
|
100% |
114
45.0 IPS |
|
|
Text Classification (F16)
|
100% |
121
47.8 IPS |
|
|
Machine Translation (F32)
|
100% |
748
115.4 IPS |
|
|
Machine Translation (F16)
|
100% |
717
110.5 IPS |
