iPhone 6s Plus
Geekbench ML Score
292
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 10 2026 02:39 AM |
| Views | 1 |
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% |
201
21.5 IPS |
|
|
Image Classification (F16)
|
100% |
191
20.4 IPS |
|
|
Image Classification (I8)
|
81% |
310
33.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
2.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
321
1.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
635
3.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
76
0.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
318
11.1 IPS |
|
|
Object Detection (F16)
|
100% |
329
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
468
16.4 IPS |
|
|
Face Detection (F32)
|
100% |
326
3.75 IPS |
|
|
Face Detection (F16)
|
100% |
310
3.56 IPS |
|
|
Face Detection (I8)
|
75% |
472
5.42 IPS |
|
|
Text Classification (F32)
|
100% |
449
177.7 IPS |
|
|
Text Classification (F16)
|
100% |
453
179.1 IPS |
|
|
Machine Translation (F32)
|
100% |
453
69.8 IPS |
|
|
Machine Translation (F16)
|
100% |
454
70.0 IPS |
