iPhone 6s Plus
Geekbench ML Score
277
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 02:37 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
241
25.8 IPS |
|
|
Image Classification (F16)
|
100% |
220
23.5 IPS |
|
|
Image Classification (I8)
|
81% |
189
20.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
479
2.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
475
2.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
359
2.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
311
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
404
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
406
14.2 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.14 IPS |
|
|
Face Detection (F32)
|
100% |
705
8.10 IPS |
|
|
Face Detection (F16)
|
100% |
714
8.20 IPS |
|
|
Face Detection (I8)
|
75% |
264
3.03 IPS |
|
|
Text Classification (F32)
|
98% |
74
29.3 IPS |
|
|
Text Classification (F16)
|
98% |
70
27.7 IPS |
|
|
Machine Translation (F32)
|
100% |
431
66.4 IPS |
|
|
Machine Translation (F16)
|
100% |
442
68.1 IPS |
