iPhone 6s
Geekbench ML Score
285
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 04:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
256
27.5 IPS |
|
|
Image Classification (F16)
|
100% |
261
28.0 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
455
2.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
444
2.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
337
2.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
311
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
311
1.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
59
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
492
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
556
19.5 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.52 IPS |
|
|
Face Detection (F32)
|
100% |
709
8.15 IPS |
|
|
Face Detection (F16)
|
100% |
700
8.04 IPS |
|
|
Face Detection (I8)
|
75% |
232
2.67 IPS |
|
|
Text Classification (F32)
|
98% |
72
28.5 IPS |
|
|
Text Classification (F16)
|
98% |
72
28.3 IPS |
|
|
Machine Translation (F32)
|
100% |
446
68.7 IPS |
|
|
Machine Translation (F16)
|
100% |
454
69.9 IPS |
