iPhone SE
Geekbench ML Score
283
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | July 26 2021 09:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone SE |
| Model ID | iPhone8,4 |
| Motherboard | N69uAP |
| 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% |
211
22.6 IPS |
|
|
Image Classification (F16)
|
100% |
195
20.9 IPS |
|
|
Image Classification (I8)
|
81% |
322
34.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
352
2.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
567
3.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
295
10.3 IPS |
|
|
Object Detection (F16)
|
100% |
310
10.9 IPS |
|
|
Object Detection (I8)
|
52% |
399
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
385
4.42 IPS |
|
|
Face Detection (F16)
|
100% |
343
3.94 IPS |
|
|
Face Detection (I8)
|
75% |
368
4.23 IPS |
|
|
Text Classification (F32)
|
100% |
377
148.9 IPS |
|
|
Text Classification (F16)
|
100% |
375
148.3 IPS |
|
|
Machine Translation (F32)
|
100% |
365
56.2 IPS |
|
|
Machine Translation (F16)
|
100% |
395
60.9 IPS |
