iPhone SE (2nd generation)
Geekbench AI Score
1591
Single Precision Score
3055
Half Precision Score
2427
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | harman767 |
| Upload Date | March 26 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1439
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
4309
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (HP)
|
97% |
1490
118.6 IPS |
|
|
Object Detection (Q)
|
94% |
1042
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (Q)
|
100% |
1658
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2636
20.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5773
44.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4024
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6562
8.43 IPS |
|
|
Style Transfer (HP)
|
100% |
13715
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11614
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2696
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2114
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3195
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3182
55.0 IPS |
