iPhone SE (3rd generation)
Geekbench AI Score
3238
Single Precision Score
20613
Half Precision Score
23100
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
9213
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
9940
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13165
213.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15671
254.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
92292
107.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94580
110.9 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
10847
862.8 IPS |
|
|
Object Detection (Q)
|
91% |
11138
890.0 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28513
338.8 IPS |
|
|
Face Detection (Q)
|
100% |
35573
422.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5245
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57185
440.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
81204
634.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16765
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
161192
207.2 IPS |
|
|
Style Transfer (Q)
|
96% |
153397
198.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26714
986.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31122
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2461
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2544
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6602
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7517
129.9 IPS |
