iPhone 8
Geekbench ML Score
360
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 10:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
369
39.6 IPS |
|
|
Image Classification (I8)
|
81% |
284
30.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
618
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
343
2.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
334
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
376
13.2 IPS |
|
|
Object Detection (I8)
|
52% |
476
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
546
6.27 IPS |
|
|
Face Detection (F16)
|
100% |
546
6.28 IPS |
|
|
Face Detection (I8)
|
75% |
556
6.39 IPS |
|
|
Text Classification (F32)
|
100% |
503
199.1 IPS |
|
|
Text Classification (F16)
|
100% |
580
229.3 IPS |
|
|
Machine Translation (F32)
|
100% |
685
105.6 IPS |
|
|
Machine Translation (F16)
|
100% |
725
111.7 IPS |
