iPhone SE
Geekbench ML Score
325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
205
22.0 IPS |
|
|
Image Classification (F16)
|
100% |
207
22.2 IPS |
|
|
Image Classification (I8)
|
81% |
346
37.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
399
2.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
396
2.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
649
4.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
340
11.9 IPS |
|
|
Object Detection (F16)
|
100% |
350
12.3 IPS |
|
|
Object Detection (I8)
|
52% |
472
16.6 IPS |
|
|
Face Detection (F32)
|
100% |
432
4.97 IPS |
|
|
Face Detection (F16)
|
100% |
424
4.87 IPS |
|
|
Face Detection (I8)
|
75% |
442
5.08 IPS |
|
|
Text Classification (F32)
|
100% |
449
177.6 IPS |
|
|
Text Classification (F16)
|
100% |
453
179.1 IPS |
|
|
Machine Translation (F32)
|
100% |
445
68.5 IPS |
|
|
Machine Translation (F16)
|
100% |
440
67.8 IPS |
