iPhone SE (2nd generation)
Geekbench AI Score
1725
Single Precision Score
3142
Half Precision Score
2595
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | evariste |
| Upload Date | March 02 2025 09:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3688
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6652
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5931
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (HP)
|
97% |
1620
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
1173
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1865
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5918
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4324
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7417
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
13698
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12004
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2686
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2094
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2148
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3195
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3160
54.6 IPS |
