iPhone 7
Geekbench ML Score
413
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 19 2024 05:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.2 |
| Model | iPhone 7 |
| Model ID | iPhone9,1 |
| Motherboard | D10AP |
| 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% |
285
30.5 IPS |
|
|
Image Classification (I8)
|
81% |
499
53.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
485
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
501
3.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
929
5.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
196
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
437
15.3 IPS |
|
|
Object Detection (F16)
|
100% |
421
14.8 IPS |
|
|
Object Detection (I8)
|
52% |
654
22.9 IPS |
|
|
Face Detection (F32)
|
100% |
530
6.09 IPS |
|
|
Face Detection (F16)
|
100% |
533
6.12 IPS |
|
|
Face Detection (I8)
|
75% |
600
6.90 IPS |
|
|
Text Classification (F32)
|
100% |
466
184.3 IPS |
|
|
Text Classification (F16)
|
100% |
472
186.6 IPS |
|
|
Machine Translation (F32)
|
100% |
507
78.1 IPS |
|
|
Machine Translation (F16)
|
100% |
598
92.2 IPS |
