iPhone 11
Geekbench AI Score
1519
Single Precision Score
2986
Half Precision Score
2458
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 09:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
765
142.2 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1347
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6047
7.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
5090
5.97 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.1 IPS |
|
|
Object Detection (HP)
|
97% |
1562
124.3 IPS |
|
|
Object Detection (Q)
|
94% |
1126
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1710
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2630
20.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5393
41.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3843
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6179
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
13148
16.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11583
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2027
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3172
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3184
55.0 IPS |
