iPhone SE
Geekbench ML Score
488
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:52 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.2 |
| 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% |
425
45.5 IPS |
|
|
Image Classification (F16)
|
100% |
640
68.6 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
953
5.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
1579
9.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
361
2.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
392
1.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
652
2.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
565
19.8 IPS |
|
|
Object Detection (F16)
|
100% |
879
30.9 IPS |
|
|
Object Detection (I8)
|
52% |
273
9.57 IPS |
|
|
Face Detection (F32)
|
100% |
903
10.4 IPS |
|
|
Face Detection (F16)
|
97% |
1573
18.1 IPS |
|
|
Face Detection (I8)
|
75% |
266
3.06 IPS |
|
|
Text Classification (F32)
|
100% |
421
166.4 IPS |
|
|
Text Classification (F16)
|
98% |
586
231.7 IPS |
|
|
Machine Translation (F32)
|
100% |
445
68.6 IPS |
|
|
Machine Translation (F16)
|
100% |
456
70.2 IPS |
