iPhone 6s Plus
Geekbench ML Score
330
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 06:45 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
204
21.8 IPS |
|
|
Image Classification (I8)
|
81% |
339
36.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
398
2.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
642
3.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
127
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
122
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
358
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
360
12.7 IPS |
|
|
Object Detection (I8)
|
52% |
487
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
428
4.91 IPS |
|
|
Face Detection (F16)
|
100% |
431
4.95 IPS |
|
|
Face Detection (I8)
|
75% |
479
5.51 IPS |
|
|
Text Classification (F32)
|
100% |
476
188.2 IPS |
|
|
Text Classification (F16)
|
100% |
482
190.8 IPS |
|
|
Machine Translation (F32)
|
100% |
462
71.2 IPS |
|
|
Machine Translation (F16)
|
100% |
470
72.4 IPS |
