iPhone SE (2nd generation)
Geekbench AI Score
1184
Single Precision Score
3542
Half Precision Score
717
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 04:17 PM |
| 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% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
2669
496.4 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3368
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
28636
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3485
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (Q)
|
94% |
289
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
6907
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1899
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23281
179.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
971
7.58 IPS |
|
|
Style Transfer (SP)
|
100% |
4830
6.21 IPS |
|
|
Style Transfer (HP)
|
100% |
10310
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4224
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
594
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.2 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.7 IPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
