iPhone 6s Plus
Geekbench ML Score
332
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 03:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
209
22.4 IPS |
|
|
Image Classification (F16)
|
100% |
205
22.0 IPS |
|
|
Image Classification (I8)
|
81% |
344
36.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
643
3.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
122
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
360
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
361
12.7 IPS |
|
|
Object Detection (I8)
|
52% |
490
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
433
4.98 IPS |
|
|
Face Detection (F16)
|
100% |
432
4.97 IPS |
|
|
Face Detection (I8)
|
75% |
486
5.58 IPS |
|
|
Text Classification (F32)
|
100% |
506
200.0 IPS |
|
|
Text Classification (F16)
|
100% |
506
200.0 IPS |
|
|
Machine Translation (F32)
|
100% |
441
68.0 IPS |
|
|
Machine Translation (F16)
|
100% |
441
67.9 IPS |
