iPhone SE (2nd generation)
Geekbench AI Score
1652
Single Precision Score
3051
Half Precision Score
2531
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 07:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.3 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1365
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6445
7.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
5716
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1570
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1821
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2934
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5490
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4023
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7017
9.02 IPS |
|
|
Style Transfer (HP)
|
100% |
14379
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12088
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2532
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2008
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2254
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3169
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3078
53.2 IPS |
