iPhone 11 Pro
Geekbench AI Score
1208
Single Precision Score
3708
Half Precision Score
758
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 11:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
2833
526.8 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
356
5.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
28373
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3563
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7228
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
398
4.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1971
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28715
221.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1056
8.25 IPS |
|
|
Style Transfer (SP)
|
100% |
5406
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
10852
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4639
5.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4445
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
634
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
466
621.4 IPS |
|
|
Text Classification (Q)
|
93% |
464
622.6 IPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1063
18.4 IPS |
