iPhone 11
Geekbench AI Score
1634
Single Precision Score
3025
Half Precision Score
2510
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 08:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
832
154.8 IPS |
|
|
Image Classification (HP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1439
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3235
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
5960
6.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
5268
6.17 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.5 IPS |
|
|
Object Detection (HP)
|
97% |
1561
124.3 IPS |
|
|
Object Detection (Q)
|
94% |
1093
87.2 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
1785
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2722
21.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5493
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4040
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6489
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
13046
16.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11143
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2115
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2338
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3102
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3084
53.3 IPS |
