iPhone 11
Geekbench AI Score
1706
Single Precision Score
3105
Half Precision Score
2606
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 10:27 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 |
| 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% |
812
151.0 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.6 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1456
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
6285
7.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
5436
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1832
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3051
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5882
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4238
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7165
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
14159
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11767
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2159
79.7 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2260
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2650
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3088
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3066
53.0 IPS |
