iPhone 7 Plus
Geekbench ML Score
336
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 27 2021 04:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
271
29.0 IPS |
|
|
Image Classification (F16)
|
100% |
262
28.1 IPS |
|
|
Image Classification (I8)
|
81% |
498
53.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
473
2.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
462
2.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
798
4.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
125
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
312
11.0 IPS |
|
|
Object Detection (F16)
|
100% |
302
10.6 IPS |
|
|
Object Detection (I8)
|
52% |
430
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
360
4.14 IPS |
|
|
Face Detection (F16)
|
100% |
366
4.21 IPS |
|
|
Face Detection (I8)
|
75% |
419
4.81 IPS |
|
|
Text Classification (F32)
|
100% |
398
157.5 IPS |
|
|
Text Classification (F16)
|
100% |
398
157.5 IPS |
|
|
Machine Translation (F32)
|
100% |
425
65.4 IPS |
|
|
Machine Translation (F16)
|
100% |
416
64.2 IPS |
