iPhone 11
Geekbench AI Score
965
Single Precision Score
1742
Half Precision Score
1447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 10:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.3 IPS |
|
|
Image Classification (Q)
|
96% |
543
101.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1796
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3537
4.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
3188
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
97% |
831
66.1 IPS |
|
|
Object Detection (Q)
|
94% |
623
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (Q)
|
100% |
1034
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1675
12.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
3169
24.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
2346
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3943
5.07 IPS |
|
|
Style Transfer (HP)
|
100% |
7741
9.95 IPS |
|
|
Style Transfer (Q)
|
96% |
6551
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1251
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1620
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
1455
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1738
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1741
30.1 IPS |
