iPhone 6s
Geekbench ML Score
328
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 08:37 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8 |
| 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% |
211
22.6 IPS |
|
|
Image Classification (F16)
|
100% |
205
22.0 IPS |
|
|
Image Classification (I8)
|
81% |
345
37.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
399
2.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
400
2.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
651
4.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
122
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
363
12.7 IPS |
|
|
Object Detection (F16)
|
100% |
358
12.6 IPS |
|
|
Object Detection (I8)
|
52% |
488
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
435
4.99 IPS |
|
|
Face Detection (F16)
|
100% |
407
4.67 IPS |
|
|
Face Detection (I8)
|
75% |
458
5.27 IPS |
|
|
Text Classification (F32)
|
100% |
471
186.2 IPS |
|
|
Text Classification (F16)
|
100% |
487
192.5 IPS |
|
|
Machine Translation (F32)
|
100% |
432
66.6 IPS |
|
|
Machine Translation (F16)
|
100% |
452
69.7 IPS |
