iPhone 6s
Geekbench ML Score
227
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 30 2025 12:33 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 6s |
| Model ID | iPhone8,1 |
| Motherboard | N71AP |
| 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% |
136
14.6 IPS |
|
|
Image Classification (F16)
|
100% |
139
14.8 IPS |
|
|
Image Classification (I8)
|
81% |
231
24.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
262
1.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
253
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
433
2.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
88
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
88
0.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
84
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
243
8.53 IPS |
|
|
Object Detection (F16)
|
100% |
244
8.58 IPS |
|
|
Object Detection (I8)
|
52% |
325
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
322
3.69 IPS |
|
|
Face Detection (F16)
|
100% |
322
3.69 IPS |
|
|
Face Detection (I8)
|
75% |
332
3.81 IPS |
|
|
Text Classification (F32)
|
100% |
342
135.3 IPS |
|
|
Text Classification (F16)
|
100% |
346
136.8 IPS |
|
|
Machine Translation (F32)
|
100% |
305
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
309
47.6 IPS |
