iPhone 6s Plus
Geekbench ML Score
287
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 02 2026 11:27 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
192
20.6 IPS |
|
|
Image Classification (F16)
|
100% |
180
19.3 IPS |
|
|
Image Classification (I8)
|
81% |
334
35.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
350
2.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
609
3.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
296
10.4 IPS |
|
|
Object Detection (F16)
|
100% |
308
10.8 IPS |
|
|
Object Detection (I8)
|
52% |
426
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
375
4.30 IPS |
|
|
Face Detection (F16)
|
100% |
362
4.16 IPS |
|
|
Face Detection (I8)
|
75% |
393
4.52 IPS |
|
|
Text Classification (F32)
|
100% |
395
156.4 IPS |
|
|
Text Classification (F16)
|
100% |
412
162.9 IPS |
|
|
Machine Translation (F32)
|
100% |
389
59.9 IPS |
|
|
Machine Translation (F16)
|
100% |
417
64.2 IPS |
