iPhone 6s
Geekbench ML Score
302
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 05:57 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71AP |
| 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 | 1.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
206
22.0 IPS |
|
|
Image Classification (F16)
|
100% |
201
21.5 IPS |
|
|
Image Classification (I8)
|
81% |
333
35.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
375
2.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
389
2.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
587
3.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
115
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
312
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
330
11.6 IPS |
|
|
Object Detection (I8)
|
52% |
433
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
398
4.57 IPS |
|
|
Face Detection (F16)
|
100% |
384
4.41 IPS |
|
|
Face Detection (I8)
|
75% |
410
4.71 IPS |
|
|
Text Classification (F32)
|
100% |
409
161.9 IPS |
|
|
Text Classification (F16)
|
100% |
416
164.4 IPS |
|
|
Machine Translation (F32)
|
100% |
404
62.2 IPS |
|
|
Machine Translation (F16)
|
100% |
431
66.5 IPS |
