iPhone 11 Pro
Geekbench AI Score
1169
Single Precision Score
3573
Half Precision Score
704
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
2770
515.1 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3313
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
28951
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
3540
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (Q)
|
94% |
249
19.9 IPS |
|
|
Face Detection (SP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
7185
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
361
4.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
1848
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22451
173.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
991
7.74 IPS |
|
|
Style Transfer (SP)
|
100% |
5081
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
10324
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4302
5.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4567
168.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
587
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.1 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.7 IPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
939
16.2 IPS |
