iPhone 7
Geekbench ML Score
302
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 06 2022 04:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
164
17.6 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.4 IPS |
|
|
Image Classification (I8)
|
81% |
338
36.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
412
2.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
414
2.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
780
4.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
125
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
148
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
285
9.99 IPS |
|
|
Object Detection (F16)
|
100% |
270
9.47 IPS |
|
|
Object Detection (I8)
|
52% |
396
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
373
4.29 IPS |
|
|
Face Detection (F16)
|
100% |
424
4.87 IPS |
|
|
Face Detection (I8)
|
75% |
462
5.30 IPS |
|
|
Text Classification (F32)
|
100% |
400
158.3 IPS |
|
|
Text Classification (F16)
|
100% |
399
158.0 IPS |
|
|
Machine Translation (F32)
|
100% |
404
62.3 IPS |
|
|
Machine Translation (F16)
|
100% |
396
61.0 IPS |
