iPhone SE (2nd generation)
Geekbench AI Score
882
Single Precision Score
3017
Half Precision Score
534
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (Q)
|
97% |
187
34.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
214
3.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1804
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
23278
27.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2492
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6235
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
267
3.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
1313
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20432
157.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
743
5.81 IPS |
|
|
Style Transfer (SP)
|
100% |
3487
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
7843
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
3285
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4000
147.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
440
586.9 IPS |
|
|
Text Classification (Q)
|
93% |
428
574.2 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
751
13.0 IPS |
