iPhone 6s Plus
Geekbench ML Score
467
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 01:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
499
53.5 IPS |
|
|
Image Classification (F16)
|
100% |
662
70.9 IPS |
|
|
Image Classification (I8)
|
81% |
155
16.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1166
7.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
1906
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
277
1.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
445
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
860
3.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
49
0.20 IPS |
|
|
Object Detection (F32)
|
100% |
672
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
810
28.4 IPS |
|
|
Object Detection (I8)
|
52% |
197
6.90 IPS |
|
|
Face Detection (F32)
|
100% |
1110
12.8 IPS |
|
|
Face Detection (F16)
|
97% |
1974
22.7 IPS |
|
|
Face Detection (I8)
|
75% |
192
2.20 IPS |
|
|
Text Classification (F32)
|
100% |
424
167.7 IPS |
|
|
Text Classification (F16)
|
98% |
460
182.0 IPS |
|
|
Machine Translation (F32)
|
100% |
313
48.2 IPS |
|
|
Machine Translation (F16)
|
100% |
330
50.8 IPS |
