iPhone SE
Geekbench ML Score
332
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 09:48 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8.1 |
| Model | iPhone SE |
| Model ID | iPhone8,4 |
| Motherboard | N69AP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 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 | 1.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
211
22.6 IPS |
|
|
Image Classification (F16)
|
100% |
206
22.1 IPS |
|
|
Image Classification (I8)
|
81% |
341
36.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
394
2.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
392
2.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
646
3.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
127
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
127
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
123
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
358
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
357
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
482
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
430
4.94 IPS |
|
|
Face Detection (F16)
|
100% |
433
4.98 IPS |
|
|
Face Detection (I8)
|
75% |
481
5.52 IPS |
|
|
Text Classification (F32)
|
100% |
504
199.2 IPS |
|
|
Text Classification (F16)
|
100% |
500
197.7 IPS |
|
|
Machine Translation (F32)
|
100% |
449
69.1 IPS |
|
|
Machine Translation (F16)
|
100% |
436
67.1 IPS |
