iPhone SE (3rd generation)
Geekbench AI Score
2231
Single Precision Score
2383
Half Precision Score
882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 03:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
937
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.5 IPS |
|
|
Image Classification (Q)
|
97% |
651
121.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1958
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9123
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9863
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
8980
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.7 IPS |
|
|
Object Detection (HP)
|
100% |
960
76.1 IPS |
|
|
Object Detection (Q)
|
92% |
777
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
3207
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6331
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6129
47.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16476
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19186
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17486
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2767
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2494
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.1 IPS |
|
|
Text Classification (HP)
|
100% |
525
700.2 IPS |
|
|
Text Classification (Q)
|
93% |
337
452.1 IPS |
|
|
Machine Translation (SP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
681
11.8 IPS |
