iPhone 6s
Geekbench ML Score
277
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
203
21.8 IPS |
|
|
Image Classification (F16)
|
100% |
193
20.7 IPS |
|
|
Image Classification (I8)
|
81% |
311
33.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
340
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
337
2.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
558
3.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
95
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
292
10.3 IPS |
|
|
Object Detection (F16)
|
100% |
287
10.1 IPS |
|
|
Object Detection (I8)
|
52% |
402
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
377
4.33 IPS |
|
|
Face Detection (F16)
|
100% |
356
4.09 IPS |
|
|
Face Detection (I8)
|
75% |
377
4.34 IPS |
|
|
Text Classification (F32)
|
100% |
368
145.6 IPS |
|
|
Text Classification (F16)
|
100% |
367
145.0 IPS |
|
|
Machine Translation (F32)
|
100% |
357
55.0 IPS |
|
|
Machine Translation (F16)
|
100% |
403
62.1 IPS |
