iPhone 6s Plus
Geekbench ML Score
293
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
203
21.8 IPS |
|
|
Image Classification (F16)
|
100% |
203
21.7 IPS |
|
|
Image Classification (I8)
|
81% |
330
35.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
364
2.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
352
2.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
610
3.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
321
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
318
11.1 IPS |
|
|
Object Detection (I8)
|
52% |
409
14.4 IPS |
|
|
Face Detection (F32)
|
100% |
394
4.52 IPS |
|
|
Face Detection (F16)
|
100% |
360
4.13 IPS |
|
|
Face Detection (I8)
|
75% |
411
4.72 IPS |
|
|
Text Classification (F32)
|
100% |
413
163.4 IPS |
|
|
Text Classification (F16)
|
100% |
413
163.3 IPS |
|
|
Machine Translation (F32)
|
100% |
385
59.3 IPS |
|
|
Machine Translation (F16)
|
100% |
396
61.0 IPS |
