iPhone 11
Geekbench AI Score
1085
Single Precision Score
3333
Half Precision Score
624
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 05:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
583
108.4 IPS |
|
|
Image Classification (HP)
|
100% |
2629
488.8 IPS |
|
|
Image Classification (Q)
|
97% |
262
48.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
283
4.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
26884
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2904
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2501
198.4 IPS |
|
|
Object Detection (Q)
|
94% |
245
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6973
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
314
3.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1597
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23101
178.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
806
6.30 IPS |
|
|
Style Transfer (SP)
|
100% |
3751
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
8509
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3543
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.7 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
