iPhone SE (3rd generation)
Geekbench AI Score
3084
Single Precision Score
5655
Half Precision Score
4559
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 06:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.2 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2440
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5757
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
13609
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11416
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
97% |
2662
212.0 IPS |
|
|
Object Detection (Q)
|
94% |
1863
148.5 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5458
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3042
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5136
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10580
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7226
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16297
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25790
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20911
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3479
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4700
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4375
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6348
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6536
112.9 IPS |
