iPhone SE (3rd generation)
Geekbench AI Score
3272
Single Precision Score
19910
Half Precision Score
22260
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | January 06 2025 01:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
9173
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
10395
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12178
197.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13704
222.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
86434
100.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93959
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
99% |
11036
877.9 IPS |
|
|
Object Detection (Q)
|
91% |
12054
963.2 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
25880
307.5 IPS |
|
|
Face Detection (Q)
|
100% |
32394
384.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53305
410.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75075
586.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17394
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
155554
200.0 IPS |
|
|
Style Transfer (Q)
|
96% |
155404
200.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3894
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29284
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28669
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2374
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6288
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7200
124.4 IPS |
