iPhone SE (3rd generation)
Geekbench AI Score
3289
Single Precision Score
5619
Half Precision Score
4590
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 11:32 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6565
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14104
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12026
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2672
212.7 IPS |
|
|
Object Detection (Q)
|
94% |
1900
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
2798
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3218
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5505
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11059
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7574
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17601
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26844
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22406
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5827
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5784
100.0 IPS |
