iPhone SE (2nd generation)
Geekbench AI Score
900
Single Precision Score
1049
Half Precision Score
462
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
1255
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
94% |
240
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
317
3.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
2397
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2807
21.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
744
5.81 IPS |
|
|
Style Transfer (SP)
|
100% |
5819
7.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5624
7.23 IPS |
|
|
Style Transfer (Q)
|
96% |
2127
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
426
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.5 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.5 IPS |
|
|
Text Classification (Q)
|
93% |
351
470.8 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
98% |
240
4.14 IPS |
