iPhone 6s Plus
Geekbench ML Score
295
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 08 2025 05:16 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
194
20.7 IPS |
|
|
Image Classification (F16)
|
100% |
195
20.9 IPS |
|
|
Image Classification (I8)
|
81% |
322
34.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
357
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
350
2.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
581
3.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
317
11.1 IPS |
|
|
Object Detection (F16)
|
100% |
315
11.1 IPS |
|
|
Object Detection (I8)
|
52% |
419
14.7 IPS |
|
|
Face Detection (F32)
|
100% |
407
4.67 IPS |
|
|
Face Detection (F16)
|
100% |
377
4.33 IPS |
|
|
Face Detection (I8)
|
75% |
401
4.61 IPS |
|
|
Text Classification (F32)
|
100% |
422
166.7 IPS |
|
|
Text Classification (F16)
|
100% |
423
167.2 IPS |
|
|
Machine Translation (F32)
|
100% |
428
65.9 IPS |
|
|
Machine Translation (F16)
|
100% |
422
65.0 IPS |
