iPhone SE (2nd generation)
Geekbench AI Score
1122
Single Precision Score
3454
Half Precision Score
692
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:47 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% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
100% |
2865
532.9 IPS |
|
|
Image Classification (Q)
|
97% |
259
48.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
338
5.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
26891
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3502
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
6926
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
361
4.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
1828
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22248
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
910
7.11 IPS |
|
|
Style Transfer (SP)
|
100% |
4372
5.62 IPS |
|
|
Style Transfer (HP)
|
100% |
9311
12.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3664
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4214
155.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
539
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.1 IPS |
|
|
Text Classification (Q)
|
93% |
450
604.4 IPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
980
16.9 IPS |
