iPhone 8
Geekbench ML Score
419
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:28 PM |
| 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% |
372
39.8 IPS |
|
|
Image Classification (F16)
|
100% |
366
39.2 IPS |
|
|
Image Classification (I8)
|
81% |
375
40.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
289
1.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
300
1.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
697
4.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
157
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
431
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
446
15.6 IPS |
|
|
Object Detection (I8)
|
52% |
503
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
643
7.38 IPS |
|
|
Face Detection (F16)
|
100% |
643
7.39 IPS |
|
|
Face Detection (I8)
|
75% |
593
6.81 IPS |
|
|
Text Classification (F32)
|
100% |
626
247.7 IPS |
|
|
Text Classification (F16)
|
100% |
714
282.4 IPS |
|
|
Machine Translation (F32)
|
100% |
713
109.9 IPS |
|
|
Machine Translation (F16)
|
100% |
752
115.9 IPS |
