iPhone 7
Geekbench ML Score
302
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:02 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
231
24.8 IPS |
|
|
Image Classification (F16)
|
100% |
243
26.0 IPS |
|
|
Image Classification (I8)
|
81% |
457
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
428
2.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
408
2.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
702
4.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
307
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
268
9.40 IPS |
|
|
Object Detection (I8)
|
52% |
415
14.6 IPS |
|
|
Face Detection (F32)
|
100% |
373
4.28 IPS |
|
|
Face Detection (F16)
|
100% |
392
4.50 IPS |
|
|
Face Detection (I8)
|
75% |
430
4.94 IPS |
|
|
Text Classification (F32)
|
100% |
319
126.0 IPS |
|
|
Text Classification (F16)
|
100% |
319
126.0 IPS |
|
|
Machine Translation (F32)
|
100% |
334
51.4 IPS |
|
|
Machine Translation (F16)
|
100% |
312
48.1 IPS |
