iPhone 11
Geekbench AI Score
1621
Single Precision Score
2748
Half Precision Score
2350
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tarasstarhii |
| Upload Date | December 22 2025 02:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.4 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1079
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6642
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5793
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (HP)
|
97% |
1327
105.6 IPS |
|
|
Object Detection (Q)
|
94% |
1004
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1633
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2843
21.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
4887
37.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3724
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7308
9.39 IPS |
|
|
Style Transfer (HP)
|
100% |
13935
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11863
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2138
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2451
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2454
42.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2510
43.4 IPS |
