iPhone 11 Pro
Geekbench AI Score
1679
Single Precision Score
3113
Half Precision Score
2580
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
1374
255.6 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1359
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6736
7.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
5954
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (HP)
|
97% |
1593
126.8 IPS |
|
|
Object Detection (Q)
|
94% |
1175
93.7 IPS |
|
|
Face Detection (SP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (Q)
|
100% |
1845
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3062
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5541
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4143
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7710
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
14598
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12458
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2059
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2189
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3268
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3252
56.2 IPS |
