iPhone 6s Plus
Geekbench ML Score
297
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 03 2026 01:20 AM |
| Views | 9 |
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% |
196
21.0 IPS |
|
|
Image Classification (F16)
|
100% |
192
20.6 IPS |
|
|
Image Classification (I8)
|
81% |
323
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
347
2.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
372
2.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
642
3.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
323
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
434
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
399
4.58 IPS |
|
|
Face Detection (F16)
|
100% |
385
4.43 IPS |
|
|
Face Detection (I8)
|
75% |
401
4.60 IPS |
|
|
Text Classification (F32)
|
100% |
408
161.3 IPS |
|
|
Text Classification (F16)
|
100% |
411
162.6 IPS |
|
|
Machine Translation (F32)
|
100% |
382
58.9 IPS |
|
|
Machine Translation (F16)
|
100% |
437
67.3 IPS |
