iPhone SE (2nd generation)
Geekbench AI Score
1049
Single Precision Score
3285
Half Precision Score
626
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 06:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
2704
502.9 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
305
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
3027
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
28427
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3517
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (Q)
|
94% |
269
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
6052
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
277
3.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
1373
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20236
155.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
786
6.14 IPS |
|
|
Style Transfer (SP)
|
100% |
3683
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
7962
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3331
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
456
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.5 IPS |
|
|
Text Classification (Q)
|
93% |
443
593.9 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
794
13.7 IPS |
