iPhone 6s Plus
Geekbench ML Score
538
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 13 2026 02:34 AM |
| Views | 10 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
487
52.2 IPS |
|
|
Image Classification (F16)
|
100% |
665
71.2 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1154
7.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
1896
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
364
2.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
857
3.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
701
24.6 IPS |
|
|
Object Detection (F16)
|
100% |
1019
35.7 IPS |
|
|
Object Detection (I8)
|
52% |
272
9.56 IPS |
|
|
Face Detection (F32)
|
100% |
1110
12.8 IPS |
|
|
Face Detection (F16)
|
97% |
1975
22.7 IPS |
|
|
Face Detection (I8)
|
75% |
269
3.09 IPS |
|
|
Text Classification (F32)
|
100% |
412
162.9 IPS |
|
|
Text Classification (F16)
|
98% |
608
240.6 IPS |
|
|
Machine Translation (F32)
|
100% |
453
69.9 IPS |
|
|
Machine Translation (F16)
|
100% |
465
71.6 IPS |
