iPhone 7
Geekbench ML Score
235
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 10:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| 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% |
139
14.9 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.4 IPS |
|
|
Image Classification (I8)
|
81% |
266
28.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
264
1.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
263
1.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
471
2.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
109
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
253
8.88 IPS |
|
|
Object Detection (F16)
|
100% |
242
8.48 IPS |
|
|
Object Detection (I8)
|
52% |
374
13.1 IPS |
|
|
Face Detection (F32)
|
100% |
332
3.82 IPS |
|
|
Face Detection (F16)
|
100% |
331
3.81 IPS |
|
|
Face Detection (I8)
|
75% |
357
4.10 IPS |
|
|
Text Classification (F32)
|
100% |
322
127.2 IPS |
|
|
Text Classification (F16)
|
100% |
321
127.1 IPS |
|
|
Machine Translation (F32)
|
100% |
326
50.2 IPS |
|
|
Machine Translation (F16)
|
100% |
318
49.0 IPS |
