iPhone SE (2nd generation)
Geekbench AI Score
1051
Single Precision Score
3253
Half Precision Score
636
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 06:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2704
502.9 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
299
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
3108
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
27803
32.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3469
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
274
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6672
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
348
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1420
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20665
159.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
781
6.10 IPS |
|
|
Style Transfer (SP)
|
100% |
3703
4.76 IPS |
|
|
Style Transfer (HP)
|
100% |
7994
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
3357
4.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
467
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
444
592.2 IPS |
|
|
Text Classification (Q)
|
93% |
430
576.5 IPS |
|
|
Machine Translation (SP)
|
100% |
562
9.69 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
759
13.1 IPS |
