iPhone 6s Plus
Geekbench ML Score
291
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 13 2026 02:27 AM |
| 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% |
198
21.2 IPS |
|
|
Image Classification (I8)
|
81% |
335
35.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
381
2.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
545
3.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
88
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
302
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
308
10.8 IPS |
|
|
Object Detection (I8)
|
52% |
382
13.4 IPS |
|
|
Face Detection (F32)
|
100% |
393
4.51 IPS |
|
|
Face Detection (F16)
|
100% |
371
4.26 IPS |
|
|
Face Detection (I8)
|
75% |
415
4.77 IPS |
|
|
Text Classification (F32)
|
100% |
421
166.5 IPS |
|
|
Text Classification (F16)
|
100% |
425
168.2 IPS |
|
|
Machine Translation (F32)
|
100% |
420
64.7 IPS |
|
|
Machine Translation (F16)
|
100% |
452
69.7 IPS |
