iPhone 7
Geekbench ML Score
424
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 06:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
285
30.5 IPS |
|
|
Image Classification (F16)
|
100% |
267
28.6 IPS |
|
|
Image Classification (I8)
|
81% |
529
56.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
509
3.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
950
5.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
429
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
438
15.4 IPS |
|
|
Object Detection (I8)
|
52% |
684
24.0 IPS |
|
|
Face Detection (F32)
|
100% |
548
6.29 IPS |
|
|
Face Detection (F16)
|
100% |
537
6.17 IPS |
|
|
Face Detection (I8)
|
75% |
621
7.13 IPS |
|
|
Text Classification (F32)
|
100% |
513
202.8 IPS |
|
|
Text Classification (F16)
|
100% |
509
201.3 IPS |
|
|
Machine Translation (F32)
|
100% |
561
86.5 IPS |
|
|
Machine Translation (F16)
|
100% |
625
96.3 IPS |
