iPhone 6s Plus
Geekbench ML Score
153
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 28 2025 01:06 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
94
10.1 IPS |
|
|
Image Classification (F16)
|
100% |
95
10.2 IPS |
|
|
Image Classification (I8)
|
81% |
152
16.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
180
1.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
180
1.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
282
1.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
55
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
166
5.84 IPS |
|
|
Object Detection (F16)
|
100% |
170
5.96 IPS |
|
|
Object Detection (I8)
|
52% |
213
7.47 IPS |
|
|
Face Detection (F32)
|
100% |
221
2.54 IPS |
|
|
Face Detection (F16)
|
100% |
220
2.53 IPS |
|
|
Face Detection (I8)
|
75% |
216
2.48 IPS |
|
|
Text Classification (F32)
|
100% |
233
92.2 IPS |
|
|
Text Classification (F16)
|
100% |
234
92.5 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.5 IPS |
