iPhone SE (2nd generation)
Geekbench AI Score
848
Single Precision Score
891
Half Precision Score
371
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
312
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.5 IPS |
|
|
Image Classification (Q)
|
97% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
254
4.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1730
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
1255
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
94% |
170
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (Q)
|
100% |
206
2.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
2192
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1918
14.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
532
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
4513
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3972
5.11 IPS |
|
|
Style Transfer (Q)
|
96% |
1859
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
356
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.7 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.0 IPS |
|
|
Text Classification (Q)
|
93% |
265
356.3 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
98% |
283
4.90 IPS |
