iPhone 11
Geekbench AI Score
1674
Single Precision Score
3084
Half Precision Score
2550
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 06:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
806
149.8 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.3 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6627
7.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
5874
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1822
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3008
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5552
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4133
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7448
9.57 IPS |
|
|
Style Transfer (HP)
|
100% |
14540
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12426
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1865
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2536
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2065
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2192
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3261
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3022
52.2 IPS |
