iPhone 6s Plus
Geekbench ML Score
289
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 18 2025 06:10 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPhone 6s Plus |
| Model ID | iPhone8,2 |
| Motherboard | N66mAP |
| 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% |
201
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
201
21.5 IPS |
|
|
Image Classification (I8)
|
81% |
331
35.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
384
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
369
2.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
599
3.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
326
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
324
11.4 IPS |
|
|
Object Detection (I8)
|
52% |
416
14.6 IPS |
|
|
Face Detection (F32)
|
100% |
348
4.00 IPS |
|
|
Face Detection (F16)
|
100% |
345
3.96 IPS |
|
|
Face Detection (I8)
|
75% |
379
4.35 IPS |
|
|
Text Classification (F32)
|
100% |
392
155.2 IPS |
|
|
Text Classification (F16)
|
100% |
403
159.4 IPS |
|
|
Machine Translation (F32)
|
100% |
368
56.7 IPS |
|
|
Machine Translation (F16)
|
100% |
385
59.4 IPS |
