iPhone 7
Geekbench ML Score
437
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 09:53 AM |
| Views | 1 |
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% |
282
30.2 IPS |
|
|
Image Classification (F16)
|
100% |
281
30.1 IPS |
|
|
Image Classification (I8)
|
81% |
557
59.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
520
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
536
3.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
975
6.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
159
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
158
0.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
177
0.72 IPS |
|
|
Object Detection (F32)
|
100% |
445
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
438
15.4 IPS |
|
|
Object Detection (I8)
|
52% |
663
23.3 IPS |
|
|
Face Detection (F32)
|
100% |
595
6.84 IPS |
|
|
Face Detection (F16)
|
100% |
531
6.10 IPS |
|
|
Face Detection (I8)
|
75% |
623
7.16 IPS |
|
|
Text Classification (F32)
|
100% |
522
206.6 IPS |
|
|
Text Classification (F16)
|
100% |
508
201.1 IPS |
|
|
Machine Translation (F32)
|
100% |
638
98.3 IPS |
|
|
Machine Translation (F16)
|
100% |
650
100.2 IPS |
