iPhone 11 Pro
Geekbench AI Score
902
Single Precision Score
2859
Half Precision Score
603
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (Q)
|
97% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
237
3.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
2333
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
25691
30.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2847
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (HP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (Q)
|
94% |
243
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
335
3.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1646
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22300
171.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
899
7.02 IPS |
|
|
Style Transfer (SP)
|
100% |
4460
5.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8956
11.5 IPS |
|
|
Style Transfer (Q)
|
96% |
3909
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
532
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.0 IPS |
|
|
Text Classification (Q)
|
93% |
429
575.3 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
866
15.0 IPS |
