iPhone SE
Geekbench ML Score
300
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 09:11 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.6 |
| 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% |
202
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
199
21.3 IPS |
|
|
Image Classification (I8)
|
81% |
335
35.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
381
2.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
382
2.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
631
3.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
106
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
312
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
320
11.2 IPS |
|
|
Object Detection (I8)
|
52% |
420
14.7 IPS |
|
|
Face Detection (F32)
|
100% |
384
4.41 IPS |
|
|
Face Detection (F16)
|
100% |
371
4.26 IPS |
|
|
Face Detection (I8)
|
75% |
397
4.56 IPS |
|
|
Text Classification (F32)
|
100% |
419
165.8 IPS |
|
|
Text Classification (F16)
|
100% |
420
166.1 IPS |
|
|
Machine Translation (F32)
|
100% |
432
66.6 IPS |
|
|
Machine Translation (F16)
|
100% |
417
64.2 IPS |
