iPhone SE (3rd generation)
Geekbench AI Score
3316
Single Precision Score
20465
Half Precision Score
23431
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 02:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
9192
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
11084
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12177
197.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15498
251.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
89509
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
95356
111.8 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
99% |
11058
879.6 IPS |
|
|
Object Detection (Q)
|
91% |
12021
960.5 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
28521
338.9 IPS |
|
|
Face Detection (Q)
|
100% |
35954
427.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56372
434.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
81629
637.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17391
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164206
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
171242
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27964
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28122
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2495
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6278
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7186
124.2 IPS |
