iPhone SE (3rd generation)
Geekbench AI Score
3164
Single Precision Score
5749
Half Precision Score
4690
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | September 29 2025 05:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
2399
446.1 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2486
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14315
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11823
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
2739
218.1 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5259
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10645
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7443
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17045
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27050
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22155
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4262
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4215
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6541
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6604
114.1 IPS |
