iPhone SE (2nd generation)
Geekbench AI Score
895
Single Precision Score
981
Half Precision Score
423
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
293
54.5 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.7 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
337
5.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2951
3.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
1241
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (Q)
|
100% |
233
2.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
2347
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2309
17.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
639
4.99 IPS |
|
|
Style Transfer (SP)
|
100% |
5636
7.25 IPS |
|
|
Style Transfer (HP)
|
100% |
4894
6.29 IPS |
|
|
Style Transfer (Q)
|
96% |
2013
2.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
229
306.3 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.5 IPS |
|
|
Text Classification (Q)
|
93% |
342
459.3 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
98% |
241
4.17 IPS |
