iPhone 6s
Geekbench ML Score
271
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 17 2025 08:40 PM |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
234
25.0 IPS |
|
|
Image Classification (F16)
|
100% |
235
25.2 IPS |
|
|
Image Classification (I8)
|
81% |
173
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
459
2.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
457
2.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
323
2.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
58
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
473
16.6 IPS |
|
|
Object Detection (F16)
|
100% |
483
17.0 IPS |
|
|
Object Detection (I8)
|
52% |
242
8.50 IPS |
|
|
Face Detection (F32)
|
100% |
697
8.00 IPS |
|
|
Face Detection (F16)
|
100% |
689
7.92 IPS |
|
|
Face Detection (I8)
|
75% |
241
2.76 IPS |
|
|
Text Classification (F32)
|
98% |
65
25.7 IPS |
|
|
Text Classification (F16)
|
98% |
68
26.9 IPS |
|
|
Machine Translation (F32)
|
100% |
400
61.7 IPS |
|
|
Machine Translation (F16)
|
100% |
415
63.9 IPS |
