iPhone 11
Geekbench AI Score
1680
Single Precision Score
3081
Half Precision Score
2544
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 05:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
1339
249.0 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1444
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3372
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6144
7.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
5473
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (HP)
|
97% |
1570
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1142
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1795
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2719
20.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5805
44.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4056
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6998
9.00 IPS |
|
|
Style Transfer (HP)
|
100% |
13919
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11990
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2697
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2147
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2264
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2258
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3065
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3056
52.8 IPS |
