iPhone 6s
Geekbench ML Score
176
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 16 2025 04:33 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71mAP |
| 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 | 1.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
107
11.5 IPS |
|
|
Image Classification (F16)
|
100% |
110
11.8 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
206
1.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
209
1.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
327
2.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
68
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
68
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
64
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
193
6.76 IPS |
|
|
Object Detection (F16)
|
100% |
192
6.74 IPS |
|
|
Object Detection (I8)
|
52% |
247
8.68 IPS |
|
|
Face Detection (F32)
|
100% |
253
2.91 IPS |
|
|
Face Detection (F16)
|
100% |
253
2.90 IPS |
|
|
Face Detection (I8)
|
75% |
252
2.89 IPS |
|
|
Text Classification (F32)
|
100% |
264
104.3 IPS |
|
|
Text Classification (F16)
|
100% |
266
105.4 IPS |
|
|
Machine Translation (F32)
|
100% |
239
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
239
36.8 IPS |
