iPhone 6s Plus
Geekbench ML Score
295
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 13 2026 04:16 AM |
| Views | 11 |
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% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
199
21.3 IPS |
|
|
Image Classification (I8)
|
81% |
323
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
385
2.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
600
3.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
314
11.0 IPS |
|
|
Object Detection (I8)
|
52% |
437
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
347
3.99 IPS |
|
|
Face Detection (F16)
|
100% |
359
4.13 IPS |
|
|
Face Detection (I8)
|
75% |
391
4.49 IPS |
|
|
Text Classification (F32)
|
100% |
420
166.2 IPS |
|
|
Text Classification (F16)
|
100% |
422
167.0 IPS |
|
|
Machine Translation (F32)
|
100% |
439
67.6 IPS |
|
|
Machine Translation (F16)
|
100% |
428
66.0 IPS |
