iPhone 6s Plus
Geekbench ML Score
197
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 26 2025 09:32 AM |
| Views | 9 |
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% |
127
13.6 IPS |
|
|
Image Classification (F16)
|
100% |
127
13.6 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
248
1.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
248
1.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
378
2.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
78
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
77
0.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
71
0.29 IPS |
|
|
Object Detection (F32)
|
100% |
208
7.30 IPS |
|
|
Object Detection (F16)
|
100% |
204
7.15 IPS |
|
|
Object Detection (I8)
|
52% |
280
9.81 IPS |
|
|
Face Detection (F32)
|
100% |
282
3.24 IPS |
|
|
Face Detection (F16)
|
100% |
277
3.18 IPS |
|
|
Face Detection (I8)
|
75% |
272
3.13 IPS |
|
|
Text Classification (F32)
|
100% |
285
112.7 IPS |
|
|
Text Classification (F16)
|
100% |
280
110.8 IPS |
|
|
Machine Translation (F32)
|
100% |
250
38.6 IPS |
|
|
Machine Translation (F16)
|
100% |
253
38.9 IPS |
