iPhone SE (2nd generation)
Geekbench AI Score
914
Single Precision Score
1011
Half Precision Score
439
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 06 2024 07:54 PM |
| Views | 2 |
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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
341
5.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3020
3.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
1231
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
94% |
206
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (Q)
|
100% |
236
2.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
2468
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2522
19.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
711
5.55 IPS |
|
|
Style Transfer (SP)
|
100% |
5809
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5330
6.85 IPS |
|
|
Style Transfer (Q)
|
96% |
2082
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
427
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.9 IPS |
|
|
Text Classification (Q)
|
93% |
352
471.9 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
98% |
242
4.18 IPS |
