iPhone SE (2nd generation)
Geekbench AI Score
1140
Single Precision Score
3560
Half Precision Score
706
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
2784
517.8 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
307
4.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
28944
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
3469
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (Q)
|
94% |
282
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
7100
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
356
4.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
1795
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22906
176.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
947
7.39 IPS |
|
|
Style Transfer (SP)
|
100% |
4536
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
10269
13.2 IPS |
|
|
Style Transfer (Q)
|
96% |
4202
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1640
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
592
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.5 IPS |
|
|
Text Classification (Q)
|
93% |
445
597.6 IPS |
|
|
Machine Translation (SP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
998
17.3 IPS |
