iPhone 7
Geekbench ML Score
316
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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% |
262
28.0 IPS |
|
|
Image Classification (F16)
|
100% |
255
27.4 IPS |
|
|
Image Classification (I8)
|
81% |
500
53.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
480
2.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
466
2.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
764
4.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
120
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
255
8.95 IPS |
|
|
Object Detection (F16)
|
100% |
301
10.6 IPS |
|
|
Object Detection (I8)
|
52% |
474
16.6 IPS |
|
|
Face Detection (F32)
|
100% |
459
5.28 IPS |
|
|
Face Detection (F16)
|
100% |
433
4.97 IPS |
|
|
Face Detection (I8)
|
75% |
443
5.09 IPS |
|
|
Text Classification (F32)
|
100% |
327
129.5 IPS |
|
|
Text Classification (F16)
|
100% |
315
124.7 IPS |
|
|
Machine Translation (F32)
|
100% |
327
50.4 IPS |
|
|
Machine Translation (F16)
|
100% |
327
50.4 IPS |
