iPhone SE (3rd generation)
Geekbench AI Score
3167
Single Precision Score
20401
Half Precision Score
22268
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
8526
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
10527
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13790
223.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15728
255.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
87924
102.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
82870
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
99% |
11050
879.0 IPS |
|
|
Object Detection (Q)
|
91% |
12125
968.8 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
28482
338.4 IPS |
|
|
Face Detection (Q)
|
100% |
36703
436.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5107
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55155
424.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
65898
515.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16982
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
150054
192.9 IPS |
|
|
Style Transfer (Q)
|
96% |
145937
188.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29798
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28768
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2415
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6269
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7351
127.0 IPS |
