iPhone 6s Plus
Geekbench ML Score
281
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 09:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
204
21.9 IPS |
|
|
Image Classification (F16)
|
100% |
197
21.1 IPS |
|
|
Image Classification (I8)
|
81% |
311
33.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
362
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
572
3.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
98
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
283
9.93 IPS |
|
|
Object Detection (F16)
|
100% |
300
10.5 IPS |
|
|
Object Detection (I8)
|
52% |
391
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
374
4.30 IPS |
|
|
Face Detection (F16)
|
100% |
359
4.13 IPS |
|
|
Face Detection (I8)
|
75% |
379
4.35 IPS |
|
|
Text Classification (F32)
|
100% |
380
150.3 IPS |
|
|
Text Classification (F16)
|
100% |
410
162.1 IPS |
|
|
Machine Translation (F32)
|
100% |
366
56.4 IPS |
|
|
Machine Translation (F16)
|
100% |
387
59.7 IPS |
