iPhone SE (2nd generation)
Geekbench AI Score
1153
Single Precision Score
2297
Half Precision Score
1880
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | smajor |
| Upload Date | July 14 2025 12:30 PM |
| Views | 13 |
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% |
494
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
484
89.9 IPS |
|
|
Image Classification (Q)
|
96% |
352
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
549
8.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1992
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4281
5.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
3816
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.3 IPS |
|
|
Object Detection (HP)
|
97% |
1467
116.8 IPS |
|
|
Object Detection (Q)
|
94% |
1035
82.5 IPS |
|
|
Face Detection (SP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (Q)
|
100% |
1583
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2342
18.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
4988
38.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3448
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5035
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
12934
16.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10273
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2450
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1956
72.2 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3107
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3014
52.1 IPS |
