iPhone 6s Plus
Geekbench ML Score
313
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 03:11 AM |
| Views | 12 |
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% |
195
20.9 IPS |
|
|
Image Classification (F16)
|
100% |
196
21.0 IPS |
|
|
Image Classification (I8)
|
81% |
327
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
384
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
384
2.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
613
3.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
120
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
117
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
331
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
346
12.2 IPS |
|
|
Object Detection (I8)
|
52% |
451
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
412
4.73 IPS |
|
|
Face Detection (F16)
|
100% |
402
4.62 IPS |
|
|
Face Detection (I8)
|
75% |
425
4.89 IPS |
|
|
Text Classification (F32)
|
100% |
458
181.1 IPS |
|
|
Text Classification (F16)
|
100% |
481
190.1 IPS |
|
|
Machine Translation (F32)
|
100% |
417
64.3 IPS |
|
|
Machine Translation (F16)
|
100% |
427
65.8 IPS |
