iPhone 11 Pro
Geekbench AI Score
1213
Single Precision Score
3669
Half Precision Score
751
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 08:00 AM |
| Views | 5 |
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% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
2765
514.3 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
28654
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3550
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7229
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
402
4.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
2019
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25538
196.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1069
8.35 IPS |
|
|
Style Transfer (SP)
|
100% |
5482
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
11000
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4726
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4456
164.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
637
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.1 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.4 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1078
18.6 IPS |
