[2015] Phone: iPhone 6s [MN0W2B/A] [A1688] iPhone 6s
Geekbench ML Score
289
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | inc7007 |
| Upload Date | August 12 2023 04:29 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.8 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71AP |
| 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% |
205
21.9 IPS |
|
|
Image Classification (F16)
|
100% |
200
21.4 IPS |
|
|
Image Classification (I8)
|
81% |
314
33.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
361
2.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
358
2.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
591
3.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
310
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
293
10.3 IPS |
|
|
Object Detection (I8)
|
52% |
406
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
374
4.29 IPS |
|
|
Face Detection (F16)
|
100% |
367
4.22 IPS |
|
|
Face Detection (I8)
|
75% |
391
4.49 IPS |
|
|
Text Classification (F32)
|
100% |
399
157.7 IPS |
|
|
Text Classification (F16)
|
100% |
424
167.7 IPS |
|
|
Machine Translation (F32)
|
100% |
367
56.6 IPS |
|
|
Machine Translation (F16)
|
100% |
406
62.6 IPS |
