iPhone SE (3rd generation)
Geekbench AI Score
3315
Single Precision Score
19620
Half Precision Score
22073
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 11 2025 04:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8813
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
10211
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12108
196.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13643
221.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6613
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
87873
102.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94257
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
99% |
11101
883.1 IPS |
|
|
Object Detection (Q)
|
91% |
11400
910.9 IPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
25574
303.9 IPS |
|
|
Face Detection (Q)
|
100% |
32513
386.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52858
407.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
74936
585.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17830
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
151790
195.1 IPS |
|
|
Style Transfer (Q)
|
96% |
153243
197.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3939
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27340
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28948
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7184
124.1 IPS |
