iPhone 11
Geekbench AI Score
1768
Single Precision Score
3157
Half Precision Score
2625
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 02:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3712
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6722
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5941
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1167
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1861
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3135
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5854
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4347
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7714
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
14456
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12326
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2734
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2171
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2277
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3166
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3196
55.2 IPS |
