iPhone 11
Geekbench AI Score
1617
Single Precision Score
3043
Half Precision Score
2531
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 18 2025 01:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
767
142.6 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1359
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3301
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
6383
7.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
5610
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (HP)
|
97% |
1575
125.4 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1821
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2837
21.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5420
41.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4101
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7000
9.00 IPS |
|
|
Style Transfer (HP)
|
100% |
14450
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12170
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2557
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2013
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3089
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3153
54.5 IPS |
