iPhone 8
Geekbench ML Score
423
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 11:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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% |
211
22.7 IPS |
|
|
Image Classification (F16)
|
100% |
214
22.9 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
742
4.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
739
4.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
661
4.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
680
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
128
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
525
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
503
17.7 IPS |
|
|
Object Detection (I8)
|
52% |
505
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
732
8.41 IPS |
|
|
Face Detection (F16)
|
100% |
727
8.35 IPS |
|
|
Face Detection (I8)
|
75% |
487
5.59 IPS |
|
|
Text Classification (F32)
|
100% |
118
46.7 IPS |
|
|
Text Classification (F16)
|
100% |
109
43.2 IPS |
|
|
Machine Translation (F32)
|
100% |
727
112.0 IPS |
|
|
Machine Translation (F16)
|
100% |
736
113.4 IPS |
