iPhone SE (3rd generation)
Geekbench AI Score
3283
Single Precision Score
5672
Half Precision Score
4645
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 02:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
2318
431.0 IPS |
|
|
Image Classification (Q)
|
96% |
1617
302.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2473
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6587
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
14600
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11883
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2645
210.6 IPS |
|
|
Object Detection (Q)
|
94% |
1914
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5577
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3153
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10445
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7377
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17666
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27891
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22695
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3681
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4055
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6593
113.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6529
112.8 IPS |
