iPhone SE
Geekbench ML Score
290
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 03 2026 02:19 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
26.6 IPS |
|
|
Image Classification (F16)
|
100% |
262
28.1 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
487
3.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
488
3.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
367
2.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
311
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
556
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
558
19.6 IPS |
|
|
Object Detection (I8)
|
52% |
275
9.64 IPS |
|
|
Face Detection (F32)
|
100% |
703
8.08 IPS |
|
|
Face Detection (F16)
|
100% |
708
8.13 IPS |
|
|
Face Detection (I8)
|
75% |
271
3.11 IPS |
|
|
Text Classification (F32)
|
98% |
62
24.6 IPS |
|
|
Text Classification (F16)
|
98% |
65
25.6 IPS |
|
|
Machine Translation (F32)
|
100% |
429
66.1 IPS |
|
|
Machine Translation (F16)
|
100% |
440
67.7 IPS |
