iPhone 7
Geekbench ML Score
352
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 04:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone 7 |
| Model ID | iPhone9,3 |
| Motherboard | D101AP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 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 | 1.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
204
21.8 IPS |
|
|
Image Classification (F16)
|
100% |
183
19.6 IPS |
|
|
Image Classification (I8)
|
81% |
505
54.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
1.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
659
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
105
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
163
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
341
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
326
11.4 IPS |
|
|
Object Detection (I8)
|
52% |
729
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
400
4.60 IPS |
|
|
Face Detection (F16)
|
100% |
400
4.59 IPS |
|
|
Face Detection (I8)
|
75% |
511
5.87 IPS |
|
|
Text Classification (F32)
|
100% |
593
234.7 IPS |
|
|
Text Classification (F16)
|
100% |
593
234.6 IPS |
|
|
Machine Translation (F32)
|
100% |
680
104.8 IPS |
|
|
Machine Translation (F16)
|
100% |
680
104.7 IPS |
