iPhone SE (3rd generation)
Geekbench AI Score
3298
Single Precision Score
17825
Half Precision Score
20418
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 01:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
7920
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8936
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12454
201.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13697
222.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6598
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
84842
99.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93476
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
99% |
10355
823.7 IPS |
|
|
Object Detection (Q)
|
91% |
11637
929.8 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
25454
302.5 IPS |
|
|
Face Detection (Q)
|
100% |
33640
399.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5545
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52515
404.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
72519
566.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17820
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149846
192.6 IPS |
|
|
Style Transfer (Q)
|
96% |
150966
194.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26638
983.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27537
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1920
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4859
84.0 IPS |
