iPhone 8
Geekbench ML Score
392
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
247
26.5 IPS |
|
|
Image Classification (F16)
|
100% |
258
27.6 IPS |
|
|
Image Classification (I8)
|
81% |
355
38.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
746
4.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
747
4.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
661
4.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
706
2.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
708
2.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
464
16.3 IPS |
|
|
Object Detection (F16)
|
100% |
455
16.0 IPS |
|
|
Object Detection (I8)
|
52% |
96
3.36 IPS |
|
|
Face Detection (F32)
|
100% |
703
8.08 IPS |
|
|
Face Detection (F16)
|
100% |
779
8.95 IPS |
|
|
Face Detection (I8)
|
75% |
366
4.20 IPS |
|
|
Text Classification (F32)
|
100% |
119
46.9 IPS |
|
|
Text Classification (F16)
|
100% |
138
54.5 IPS |
|
|
Machine Translation (F32)
|
100% |
731
112.7 IPS |
|
|
Machine Translation (F16)
|
100% |
724
111.5 IPS |
