iPhone 7 Plus
Geekbench ML Score
338
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 30 2022 04:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 7 Plus |
| Model ID | iPhone9,2 |
| Motherboard | D11AP |
| 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 | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
285
30.6 IPS |
|
|
Image Classification (F16)
|
100% |
277
29.7 IPS |
|
|
Image Classification (I8)
|
81% |
536
57.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
483
2.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
3.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
856
5.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
154
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
182
0.74 IPS |
|
|
Object Detection (F32)
|
100% |
380
13.3 IPS |
|
|
Object Detection (F16)
|
100% |
358
12.6 IPS |
|
|
Object Detection (I8)
|
52% |
506
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
403
4.63 IPS |
|
|
Face Detection (F16)
|
100% |
329
3.78 IPS |
|
|
Face Detection (I8)
|
75% |
357
4.11 IPS |
|
|
Text Classification (F32)
|
100% |
319
126.2 IPS |
|
|
Text Classification (F16)
|
100% |
320
126.7 IPS |
|
|
Machine Translation (F32)
|
100% |
326
50.3 IPS |
|
|
Machine Translation (F16)
|
100% |
333
51.4 IPS |
