iPhone 6s Plus
Geekbench ML Score
303
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 11:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone 6s Plus |
| Model ID | iPhone8,2 |
| Motherboard | N66mAP |
| 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% |
205
22.0 IPS |
|
|
Image Classification (F16)
|
100% |
200
21.4 IPS |
|
|
Image Classification (I8)
|
81% |
328
35.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
378
2.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
375
2.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
608
3.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
121
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
111
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
358
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
349
12.2 IPS |
|
|
Object Detection (I8)
|
52% |
468
16.4 IPS |
|
|
Face Detection (F32)
|
100% |
416
4.78 IPS |
|
|
Face Detection (F16)
|
100% |
418
4.80 IPS |
|
|
Face Detection (I8)
|
75% |
409
4.70 IPS |
|
|
Text Classification (F32)
|
100% |
391
154.5 IPS |
|
|
Text Classification (F16)
|
100% |
405
160.1 IPS |
|
|
Machine Translation (F32)
|
100% |
354
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
385
59.3 IPS |
