iPhone 8
Geekbench ML Score
474
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 10:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
376
40.3 IPS |
|
|
Image Classification (F16)
|
100% |
343
36.8 IPS |
|
|
Image Classification (I8)
|
81% |
287
30.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
604
3.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
834
5.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
209
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
183
0.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
500
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
532
18.7 IPS |
|
|
Object Detection (I8)
|
52% |
516
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
673
7.73 IPS |
|
|
Face Detection (F16)
|
100% |
642
7.37 IPS |
|
|
Face Detection (I8)
|
75% |
594
6.82 IPS |
|
|
Text Classification (F32)
|
100% |
615
243.3 IPS |
|
|
Text Classification (F16)
|
100% |
710
280.6 IPS |
|
|
Machine Translation (F32)
|
100% |
748
115.2 IPS |
|
|
Machine Translation (F16)
|
100% |
742
114.3 IPS |
