iPhone 6s
Geekbench ML Score
332
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 16 2025 12:37 PM |
| Views | 7 |
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% |
210
22.4 IPS |
|
|
Image Classification (F16)
|
100% |
206
22.0 IPS |
|
|
Image Classification (I8)
|
81% |
343
36.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
400
2.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
400
2.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
650
4.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
361
12.7 IPS |
|
|
Object Detection (F16)
|
100% |
360
12.6 IPS |
|
|
Object Detection (I8)
|
52% |
488
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
436
5.01 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.00 IPS |
|
|
Face Detection (I8)
|
75% |
485
5.57 IPS |
|
|
Text Classification (F32)
|
100% |
499
197.5 IPS |
|
|
Text Classification (F16)
|
100% |
500
197.8 IPS |
|
|
Machine Translation (F32)
|
100% |
440
67.8 IPS |
|
|
Machine Translation (F16)
|
100% |
441
67.9 IPS |
