iPhone 8
Geekbench ML Score
441
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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% |
235
25.1 IPS |
|
|
Image Classification (F16)
|
100% |
233
25.0 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
761
4.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
753
4.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
660
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
694
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
689
2.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
568
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
547
19.2 IPS |
|
|
Object Detection (I8)
|
52% |
510
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
804
9.24 IPS |
|
|
Face Detection (F16)
|
100% |
746
8.57 IPS |
|
|
Face Detection (I8)
|
75% |
490
5.63 IPS |
|
|
Text Classification (F32)
|
100% |
119
47.1 IPS |
|
|
Text Classification (F16)
|
100% |
127
50.3 IPS |
|
|
Machine Translation (F32)
|
100% |
737
113.5 IPS |
|
|
Machine Translation (F16)
|
100% |
747
115.1 IPS |
