iPhone SE (3rd generation)
Geekbench AI Score
2967
Single Precision Score
4429
Half Precision Score
3788
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 01:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
1790
332.9 IPS |
|
|
Image Classification (Q)
|
96% |
1354
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1684
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5736
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
13218
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11095
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2088
166.2 IPS |
|
|
Object Detection (Q)
|
94% |
1591
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2487
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4823
37.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7829
60.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5876
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15934
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24952
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20608
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3453
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3389
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4276
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4289
74.1 IPS |
