iPhone SE (3rd generation)
Geekbench AI Score
3225
Single Precision Score
20191
Half Precision Score
23514
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | markerichannelly |
| Upload Date | July 09 2025 05:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
8507
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
11145
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12168
197.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15657
253.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6171
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
88639
103.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
95114
111.5 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
10841
862.3 IPS |
|
|
Object Detection (Q)
|
91% |
11366
908.2 IPS |
|
|
Face Detection (SP)
|
100% |
2735
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28550
339.2 IPS |
|
|
Face Detection (Q)
|
100% |
36224
430.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58690
452.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
75875
592.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16416
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
166556
214.1 IPS |
|
|
Style Transfer (Q)
|
96% |
168690
217.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27071
999.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31495
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2574
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6392
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7289
126.0 IPS |
