iPhone 8
Geekbench ML Score
363
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 12:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.3 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
206
22.1 IPS |
|
|
Image Classification (F16)
|
100% |
224
24.0 IPS |
|
|
Image Classification (I8)
|
81% |
353
37.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
603
3.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
596
3.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
111
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
402
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
380
13.3 IPS |
|
|
Object Detection (I8)
|
52% |
482
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
635
7.30 IPS |
|
|
Face Detection (F16)
|
100% |
637
7.32 IPS |
|
|
Face Detection (I8)
|
75% |
437
5.02 IPS |
|
|
Text Classification (F32)
|
100% |
114
45.0 IPS |
|
|
Text Classification (F16)
|
100% |
106
41.8 IPS |
|
|
Machine Translation (F32)
|
100% |
705
108.7 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
