iPhone SE (2nd generation)
Geekbench AI Score
879
Single Precision Score
1057
Half Precision Score
629
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:28 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% |
291
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.7 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
100% |
337
5.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3169
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1195
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
2390
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2840
21.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
2782
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4993
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
6403
8.23 IPS |
|
|
Style Transfer (Q)
|
100% |
6460
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1329
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
451
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.4 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.4 IPS |
|
|
Text Classification (Q)
|
93% |
372
499.2 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
98% |
248
4.29 IPS |
