iPhone 6s
Geekbench ML Score
176
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 10 2024 11:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71mAP |
| 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 | 1.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
143
15.3 IPS |
|
|
Image Classification (F16)
|
100% |
139
14.9 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
1.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
234
1.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
331
2.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
73
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
61
0.25 IPS |
|
|
Object Detection (F32)
|
100% |
182
6.39 IPS |
|
|
Object Detection (F16)
|
100% |
171
5.99 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.16 IPS |
|
|
Face Detection (F32)
|
100% |
249
2.86 IPS |
|
|
Face Detection (F16)
|
100% |
247
2.83 IPS |
|
|
Face Detection (I8)
|
75% |
187
2.15 IPS |
|
|
Text Classification (F32)
|
100% |
272
107.7 IPS |
|
|
Text Classification (F16)
|
100% |
270
106.9 IPS |
|
|
Machine Translation (F32)
|
100% |
210
32.4 IPS |
|
|
Machine Translation (F16)
|
100% |
231
35.5 IPS |
