iPhone 6s Plus
Geekbench ML Score
250
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
187
20.1 IPS |
|
|
Image Classification (F16)
|
100% |
175
18.7 IPS |
|
|
Image Classification (I8)
|
81% |
276
29.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
339
2.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
315
1.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
488
3.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
88
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
251
8.80 IPS |
|
|
Object Detection (F16)
|
100% |
274
9.63 IPS |
|
|
Object Detection (I8)
|
52% |
331
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
336
3.86 IPS |
|
|
Face Detection (F16)
|
100% |
308
3.54 IPS |
|
|
Face Detection (I8)
|
75% |
319
3.66 IPS |
|
|
Text Classification (F32)
|
100% |
342
135.4 IPS |
|
|
Text Classification (F16)
|
100% |
354
140.1 IPS |
|
|
Machine Translation (F32)
|
100% |
330
50.8 IPS |
|
|
Machine Translation (F16)
|
100% |
328
50.5 IPS |
