iPhone SE (2nd generation)
Geekbench AI Score
1652
Single Precision Score
3104
Half Precision Score
2546
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
779
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (Q)
|
96% |
982
183.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1451
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6263
7.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
5441
6.38 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1809
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2979
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5873
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4188
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6762
8.69 IPS |
|
|
Style Transfer (HP)
|
100% |
13800
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11605
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1882
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2095
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1290
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2226
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3131
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3108
53.7 IPS |
