iPhone 11 Pro
Geekbench AI Score
1666
Single Precision Score
2820
Half Precision Score
2432
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
803
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3663
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6655
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5979
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1860
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3138
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5898
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4160
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7483
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
13887
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12311
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2016
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (HP)
|
99% |
1858
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2103
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1817
31.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1806
31.2 IPS |
