iPhone SE (3rd generation)
Geekbench AI Score
2999
Single Precision Score
4454
Half Precision Score
3834
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 03:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
1769
329.0 IPS |
|
|
Image Classification (Q)
|
96% |
1359
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1685
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5915
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
13514
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11595
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2113
168.2 IPS |
|
|
Object Detection (Q)
|
94% |
1600
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2570
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8016
62.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5992
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16186
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25126
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20844
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3506
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4586
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3490
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3363
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2623
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4310
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4292
74.2 IPS |
