iPhone 6s Plus
Geekbench ML Score
529
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 19 2025 08:10 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
499
53.5 IPS |
|
|
Image Classification (F16)
|
100% |
664
71.2 IPS |
|
|
Image Classification (I8)
|
81% |
189
20.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1170
7.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1879
11.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
358
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
445
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
862
3.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
705
24.7 IPS |
|
|
Object Detection (F16)
|
100% |
934
32.8 IPS |
|
|
Object Detection (I8)
|
52% |
270
9.47 IPS |
|
|
Face Detection (F32)
|
100% |
1125
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1978
22.7 IPS |
|
|
Face Detection (I8)
|
75% |
258
2.97 IPS |
|
|
Text Classification (F32)
|
100% |
444
175.6 IPS |
|
|
Text Classification (F16)
|
98% |
586
231.7 IPS |
|
|
Machine Translation (F32)
|
100% |
418
64.5 IPS |
|
|
Machine Translation (F16)
|
100% |
411
63.3 IPS |
