iPhone SE
Geekbench ML Score
533
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2023 07:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
497
53.3 IPS |
|
|
Image Classification (F16)
|
100% |
671
71.9 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1174
7.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
1906
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
363
2.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
453
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
863
3.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
706
24.8 IPS |
|
|
Object Detection (F16)
|
100% |
921
32.3 IPS |
|
|
Object Detection (I8)
|
52% |
267
9.36 IPS |
|
|
Face Detection (F32)
|
100% |
1132
13.0 IPS |
|
|
Face Detection (F16)
|
97% |
1984
22.8 IPS |
|
|
Face Detection (I8)
|
75% |
253
2.91 IPS |
|
|
Text Classification (F32)
|
100% |
443
175.2 IPS |
|
|
Text Classification (F16)
|
98% |
599
237.1 IPS |
|
|
Machine Translation (F32)
|
100% |
436
67.1 IPS |
|
|
Machine Translation (F16)
|
100% |
420
64.7 IPS |
