iPhone 6s Plus
Geekbench ML Score
280
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 13 2026 12:49 AM |
| Views | 8 |
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% |
171
18.4 IPS |
|
|
Image Classification (F16)
|
100% |
184
19.7 IPS |
|
|
Image Classification (I8)
|
81% |
313
33.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
341
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
343
2.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
581
3.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
307
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
293
10.3 IPS |
|
|
Object Detection (I8)
|
52% |
407
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
372
4.27 IPS |
|
|
Face Detection (F16)
|
100% |
363
4.17 IPS |
|
|
Face Detection (I8)
|
75% |
389
4.47 IPS |
|
|
Text Classification (F32)
|
100% |
398
157.4 IPS |
|
|
Text Classification (F16)
|
100% |
409
161.7 IPS |
|
|
Machine Translation (F32)
|
100% |
390
60.1 IPS |
|
|
Machine Translation (F16)
|
100% |
402
62.0 IPS |
