iPhone SE (2nd generation)
Geekbench AI Score
1154
Single Precision Score
3522
Half Precision Score
706
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NikitaSolovey |
| Upload Date | October 22 2024 04:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
2730
507.7 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
316
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
3212
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
28316
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3410
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (HP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
247
19.7 IPS |
|
|
Face Detection (SP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6653
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
396
4.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1900
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23159
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1004
7.84 IPS |
|
|
Style Transfer (SP)
|
100% |
5269
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
10925
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4368
5.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
612
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
741
989.6 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.7 IPS |
|
|
Text Classification (Q)
|
93% |
433
581.3 IPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
918
15.9 IPS |
