iPhone 7
Geekbench ML Score
432
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 09:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
279
29.9 IPS |
|
|
Image Classification (F16)
|
100% |
283
30.3 IPS |
|
|
Image Classification (I8)
|
81% |
559
59.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
492
3.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
534
3.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
845
5.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
162
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
149
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
204
0.83 IPS |
|
|
Object Detection (F32)
|
100% |
424
14.9 IPS |
|
|
Object Detection (F16)
|
100% |
452
15.9 IPS |
|
|
Object Detection (I8)
|
52% |
674
23.7 IPS |
|
|
Face Detection (F32)
|
100% |
585
6.72 IPS |
|
|
Face Detection (F16)
|
100% |
546
6.28 IPS |
|
|
Face Detection (I8)
|
75% |
593
6.82 IPS |
|
|
Text Classification (F32)
|
100% |
519
205.4 IPS |
|
|
Text Classification (F16)
|
100% |
518
205.0 IPS |
|
|
Machine Translation (F32)
|
100% |
571
88.0 IPS |
|
|
Machine Translation (F16)
|
100% |
672
103.5 IPS |
