iPhone SE (2nd generation)
Geekbench AI Score
1059
Single Precision Score
3264
Half Precision Score
637
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
540
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
2738
509.1 IPS |
|
|
Image Classification (Q)
|
97% |
273
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
28876
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3461
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
567
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (Q)
|
94% |
275
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
6892
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
349
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1723
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21419
165.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
885
6.92 IPS |
|
|
Style Transfer (SP)
|
100% |
3708
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
8470
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3394
4.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3989
147.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
719
959.8 IPS |
|
|
Text Classification (HP)
|
100% |
410
546.7 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.0 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
711
12.3 IPS |
