iPhone SE (2nd generation)
Geekbench AI Score
991
Single Precision Score
3157
Half Precision Score
573
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
550
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
2715
504.9 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
301
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
27798
32.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2442
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
276
3.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
1377
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20340
156.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
771
6.02 IPS |
|
|
Style Transfer (SP)
|
100% |
3758
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
8399
10.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3264
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3966
146.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.7 IPS |
|
|
Text Classification (HP)
|
100% |
416
554.7 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.7 IPS |
|
|
Machine Translation (SP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
721
12.5 IPS |
