iPhone 6s Plus
Geekbench ML Score
523
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 01 2026 03:14 AM |
| Views | 7 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
493
52.8 IPS |
|
|
Image Classification (F16)
|
100% |
672
72.0 IPS |
|
|
Image Classification (I8)
|
81% |
181
19.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1157
7.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
1906
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
348
2.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
451
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
858
3.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
65
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
701
24.6 IPS |
|
|
Object Detection (F16)
|
100% |
953
33.4 IPS |
|
|
Object Detection (I8)
|
52% |
264
9.26 IPS |
|
|
Face Detection (F32)
|
100% |
1124
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1977
22.7 IPS |
|
|
Face Detection (I8)
|
75% |
260
2.99 IPS |
|
|
Text Classification (F32)
|
100% |
439
173.8 IPS |
|
|
Text Classification (F16)
|
98% |
499
197.5 IPS |
|
|
Machine Translation (F32)
|
100% |
413
63.6 IPS |
|
|
Machine Translation (F16)
|
100% |
425
65.6 IPS |
