iPhone SE (2nd generation)
Geekbench AI Score
900
Single Precision Score
1072
Half Precision Score
476
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NikitaSolovey |
| Upload Date | October 22 2024 04:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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
53.9 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.2 IPS |
|
|
Image Classification (Q)
|
97% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
346
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3167
3.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
1301
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
591
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (Q)
|
94% |
220
17.6 IPS |
|
|
Face Detection (SP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
345
4.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
2436
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3397
26.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
914
7.14 IPS |
|
|
Style Transfer (SP)
|
100% |
5984
7.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6750
8.68 IPS |
|
|
Style Transfer (Q)
|
96% |
2082
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
434
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.0 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.5 IPS |
|
|
Text Classification (Q)
|
93% |
363
487.2 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.18 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.21 IPS |
