iPhone SE (3rd generation)
Geekbench AI Score
1975
Single Precision Score
10481
Half Precision Score
11723
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | September 24 2025 07:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
937
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
4409
820.0 IPS |
|
|
Image Classification (Q)
|
96% |
5042
941.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3722
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5865
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5784
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
70565
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
77117
90.4 IPS |
|
|
Object Detection (SP)
|
100% |
1008
80.0 IPS |
|
|
Object Detection (HP)
|
99% |
5288
420.7 IPS |
|
|
Object Detection (Q)
|
93% |
6277
500.8 IPS |
|
|
Face Detection (SP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
10333
122.8 IPS |
|
|
Face Detection (Q)
|
100% |
12168
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3416
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37235
286.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
40935
319.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10176
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96911
124.6 IPS |
|
|
Style Transfer (Q)
|
95% |
80139
103.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3046
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13237
488.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15953
589.1 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2487
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2164
37.4 IPS |
