iPhone 6s
Geekbench ML Score
322
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 12:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
202
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
202
21.6 IPS |
|
|
Image Classification (I8)
|
81% |
337
36.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
389
2.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
389
2.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
624
3.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
125
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
121
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
345
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
355
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
477
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
426
4.89 IPS |
|
|
Face Detection (F16)
|
100% |
426
4.90 IPS |
|
|
Face Detection (I8)
|
75% |
440
5.05 IPS |
|
|
Text Classification (F32)
|
100% |
457
180.9 IPS |
|
|
Text Classification (F16)
|
100% |
469
185.5 IPS |
|
|
Machine Translation (F32)
|
100% |
451
69.4 IPS |
|
|
Machine Translation (F16)
|
100% |
437
67.3 IPS |
