iPhone 8
Geekbench ML Score
405
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 04:25 AM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
381
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
366
39.3 IPS |
|
|
Image Classification (I8)
|
81% |
291
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
604
3.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
3.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
852
5.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
172
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
341
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
342
12.0 IPS |
|
|
Object Detection (I8)
|
52% |
488
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
552
6.35 IPS |
|
|
Face Detection (F16)
|
100% |
552
6.34 IPS |
|
|
Face Detection (I8)
|
75% |
603
6.93 IPS |
|
|
Text Classification (F32)
|
100% |
603
238.6 IPS |
|
|
Text Classification (F16)
|
100% |
692
273.6 IPS |
|
|
Machine Translation (F32)
|
100% |
748
115.2 IPS |
|
|
Machine Translation (F16)
|
100% |
748
115.2 IPS |
