iPhone SE
Geekbench ML Score
287
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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% |
205
22.0 IPS |
|
|
Image Classification (F16)
|
100% |
191
20.4 IPS |
|
|
Image Classification (I8)
|
81% |
313
33.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
349
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
360
2.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
571
3.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
110
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
285
10.0 IPS |
|
|
Object Detection (F16)
|
100% |
311
10.9 IPS |
|
|
Object Detection (I8)
|
52% |
397
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
388
4.46 IPS |
|
|
Face Detection (F16)
|
100% |
364
4.18 IPS |
|
|
Face Detection (I8)
|
75% |
413
4.74 IPS |
|
|
Text Classification (F32)
|
100% |
393
155.4 IPS |
|
|
Text Classification (F16)
|
100% |
387
153.0 IPS |
|
|
Machine Translation (F32)
|
100% |
361
55.7 IPS |
|
|
Machine Translation (F16)
|
100% |
439
67.7 IPS |
