iPhone 11
Geekbench AI Score
918
Single Precision Score
1738
Half Precision Score
1466
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Patitan |
| Upload Date | May 12 2025 07:48 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
756
140.6 IPS |
|
|
Image Classification (Q)
|
96% |
531
99.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
739
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3739
4.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
3376
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.7 IPS |
|
|
Object Detection (HP)
|
97% |
872
69.4 IPS |
|
|
Object Detection (Q)
|
94% |
631
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1057
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
3023
23.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
2434
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4075
5.24 IPS |
|
|
Style Transfer (HP)
|
100% |
8380
10.8 IPS |
|
|
Style Transfer (Q)
|
96% |
7215
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1166
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (Q)
|
93% |
1392
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1805
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1828
31.6 IPS |
