iPhone SE
Geekbench ML Score
419
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 07 2025 04:18 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
480
51.4 IPS |
|
|
Image Classification (F16)
|
100% |
660
70.7 IPS |
|
|
Image Classification (I8)
|
81% |
119
12.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1154
7.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
1862
11.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
222
1.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
855
3.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
42
0.17 IPS |
|
|
Object Detection (F32)
|
100% |
648
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
696
24.4 IPS |
|
|
Object Detection (I8)
|
52% |
158
5.54 IPS |
|
|
Face Detection (F32)
|
100% |
1107
12.7 IPS |
|
|
Face Detection (F16)
|
97% |
1890
21.7 IPS |
|
|
Face Detection (I8)
|
75% |
156
1.79 IPS |
|
|
Text Classification (F32)
|
100% |
430
170.1 IPS |
|
|
Text Classification (F16)
|
98% |
456
180.2 IPS |
|
|
Machine Translation (F32)
|
100% |
220
34.0 IPS |
|
|
Machine Translation (F16)
|
100% |
229
35.3 IPS |
