iPhone 7
Geekbench ML Score
328
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 04:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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% |
279
29.8 IPS |
|
|
Image Classification (F16)
|
100% |
253
27.2 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
465
2.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
479
2.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
825
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
132
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
157
0.63 IPS |
|
|
Object Detection (F32)
|
100% |
356
12.5 IPS |
|
|
Object Detection (F16)
|
100% |
334
11.7 IPS |
|
|
Object Detection (I8)
|
52% |
501
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
406
4.67 IPS |
|
|
Face Detection (F16)
|
100% |
397
4.56 IPS |
|
|
Face Detection (I8)
|
75% |
351
4.04 IPS |
|
|
Text Classification (F32)
|
100% |
317
125.4 IPS |
|
|
Text Classification (F16)
|
100% |
312
123.4 IPS |
|
|
Machine Translation (F32)
|
100% |
333
51.3 IPS |
|
|
Machine Translation (F16)
|
100% |
332
51.2 IPS |
