iPhone SE (2nd generation)
Geekbench AI Score
1208
Single Precision Score
3662
Half Precision Score
752
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 03:36 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
549
102.2 IPS |
|
|
Image Classification (HP)
|
100% |
2806
521.8 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
28495
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3572
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7217
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1943
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24676
190.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1082
8.45 IPS |
|
|
Style Transfer (SP)
|
100% |
5695
7.32 IPS |
|
|
Style Transfer (HP)
|
100% |
11105
14.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4826
6.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
646
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.5 IPS |
|
|
Text Classification (Q)
|
93% |
461
618.7 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
