iPhone 11
Geekbench AI Score
1694
Single Precision Score
3097
Half Precision Score
2558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 08:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
1333
247.8 IPS |
|
|
Image Classification (Q)
|
96% |
965
180.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1439
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3451
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6290
7.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
5598
6.56 IPS |
|
|
Object Detection (SP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (HP)
|
97% |
1563
124.4 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1814
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3047
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5880
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4219
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7054
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
14091
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11426
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2133
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2272
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2323
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3092
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3100
53.6 IPS |
