iPhone SE (2nd generation)
Geekbench AI Score
1018
Single Precision Score
3199
Half Precision Score
605
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | January 02 2025 10:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2685
499.4 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
299
4.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
3036
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27373
31.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3247
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (Q)
|
94% |
217
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
278
3.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
1405
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19881
153.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
793
6.19 IPS |
|
|
Style Transfer (SP)
|
100% |
3701
4.76 IPS |
|
|
Style Transfer (HP)
|
100% |
8103
10.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3365
4.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
468
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
441
588.4 IPS |
|
|
Text Classification (Q)
|
93% |
428
574.5 IPS |
|
|
Machine Translation (SP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
762
13.2 IPS |
