iPhone SE (2nd generation)
Geekbench AI Score
1668
Single Precision Score
3095
Half Precision Score
2546
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
790
146.8 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
96% |
985
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6169
7.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
5360
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2963
22.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5910
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4203
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6825
8.77 IPS |
|
|
Style Transfer (HP)
|
100% |
13781
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11635
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2098
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2203
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3072
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3118
53.9 IPS |
