iPhone SE (2nd generation)
Geekbench AI Score
924
Single Precision Score
1114
Half Precision Score
512
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 01:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
346
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
1275
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
2490
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3513
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
920
7.18 IPS |
|
|
Style Transfer (SP)
|
100% |
5999
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6510
8.37 IPS |
|
|
Style Transfer (Q)
|
96% |
2093
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
451
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.1 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.3 IPS |
|
|
Text Classification (Q)
|
93% |
410
550.7 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
98% |
288
4.97 IPS |
