iPhone 11
Geekbench AI Score
1461
Single Precision Score
2707
Half Precision Score
2161
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
792
147.4 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.8 IPS |
|
|
Image Classification (Q)
|
96% |
961
179.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3582
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6560
7.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
5816
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1555
123.8 IPS |
|
|
Object Detection (Q)
|
94% |
1139
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (Q)
|
100% |
1697
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2707
20.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5444
42.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3988
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7162
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
14628
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12309
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1250
46.1 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
1374
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1863
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1794
31.0 IPS |
