iPhone SE (2nd generation)
Geekbench AI Score
821
Single Precision Score
973
Half Precision Score
546
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | HowieZhang |
| Upload Date | August 16 2024 04:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
99% |
373
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
100% |
342
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2343
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2680
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
1229
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (HP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (Q)
|
94% |
190
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (Q)
|
100% |
221
2.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
2363
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2391
18.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
2271
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3885
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
5123
6.59 IPS |
|
|
Style Transfer (Q)
|
100% |
4903
6.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.3 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.5 IPS |
|
|
Text Classification (Q)
|
93% |
373
501.2 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (Q)
|
98% |
213
3.68 IPS |
