iPhone SE (3rd generation)
Geekbench AI Score
2821
Single Precision Score
3110
Half Precision Score
3138
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 02:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
887
165.0 IPS |
|
|
Image Classification (Q)
|
96% |
878
163.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2283
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9264
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10321
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9997
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
92% |
947
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6918
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6320
48.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6520
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16717
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19308
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18798
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2818
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3010
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2654
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4301
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4290
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
861
14.9 IPS |
