iPhone 6s Plus
Geekbench ML Score
278
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 10 2026 03:04 AM |
| Views | 3 |
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% |
202
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
193
20.7 IPS |
|
|
Image Classification (I8)
|
81% |
332
35.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
233
1.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
292
1.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
628
3.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
275
9.66 IPS |
|
|
Object Detection (I8)
|
52% |
487
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.12 IPS |
|
|
Face Detection (F16)
|
100% |
301
3.46 IPS |
|
|
Face Detection (I8)
|
75% |
471
5.41 IPS |
|
|
Text Classification (F32)
|
100% |
449
177.7 IPS |
|
|
Text Classification (F16)
|
100% |
449
177.7 IPS |
|
|
Machine Translation (F32)
|
100% |
462
71.2 IPS |
|
|
Machine Translation (F16)
|
100% |
441
68.0 IPS |
