iPhone 6s Plus
Geekbench ML Score
175
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 19 2022 02:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPhone 6s Plus |
| Model ID | iPhone8,2 |
| Motherboard | N66AP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.85 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
110
11.7 IPS |
|
|
Image Classification (F16)
|
100% |
108
11.6 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
209
1.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
1.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
328
2.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
64
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
191
6.71 IPS |
|
|
Object Detection (F16)
|
100% |
190
6.67 IPS |
|
|
Object Detection (I8)
|
52% |
247
8.66 IPS |
|
|
Face Detection (F32)
|
100% |
251
2.89 IPS |
|
|
Face Detection (F16)
|
100% |
251
2.89 IPS |
|
|
Face Detection (I8)
|
75% |
249
2.86 IPS |
|
|
Text Classification (F32)
|
100% |
267
105.5 IPS |
|
|
Text Classification (F16)
|
100% |
266
105.1 IPS |
|
|
Machine Translation (F32)
|
100% |
232
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
232
35.8 IPS |
