iPhone SE (3rd generation)
Geekbench AI Score
3319
Single Precision Score
19438
Half Precision Score
22315
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | MrKenan |
| Upload Date | April 19 2026 10:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
8677
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
10423
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12817
207.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15537
251.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5589
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
76577
89.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
83238
97.6 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
10672
848.9 IPS |
|
|
Object Detection (Q)
|
89% |
11955
957.0 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
28622
340.1 IPS |
|
|
Face Detection (Q)
|
100% |
38563
458.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5153
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49757
383.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
66957
523.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16515
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
151655
195.0 IPS |
|
|
Style Transfer (Q)
|
96% |
143102
184.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26162
966.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27966
1.03 KIPS |
|
|
Text Classification (SP)
|
99% |
4631
6.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2545
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6253
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7225
124.9 IPS |
