iPhone SE (2nd generation)
Geekbench AI Score
1002
Single Precision Score
3242
Half Precision Score
600
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dcgreatdane |
| Upload Date | January 31 2025 02:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.0 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
354
5.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
3064
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
29235
34.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
2769
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (Q)
|
94% |
209
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
6015
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
285
3.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
1386
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20801
160.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
790
6.17 IPS |
|
|
Style Transfer (SP)
|
100% |
3696
4.75 IPS |
|
|
Style Transfer (HP)
|
100% |
7959
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3283
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4244
156.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
458
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
439
586.4 IPS |
|
|
Text Classification (Q)
|
93% |
434
582.7 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
729
12.6 IPS |
