iPhone SE (3rd generation)
Geekbench AI Score
3219
Single Precision Score
5567
Half Precision Score
4502
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | January 06 2025 01:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2472
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6222
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
13285
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11239
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2671
212.6 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
2689
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5533
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3080
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5331
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10997
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7464
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17070
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26362
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21926
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3782
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4614
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3443
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5545
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5537
95.7 IPS |
