iPhone 11
Geekbench AI Score
1341
Single Precision Score
2277
Half Precision Score
1758
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:23 AM |
| 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% |
809
150.4 IPS |
|
|
Image Classification (HP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1365
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3512
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6400
7.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
5676
6.65 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
97% |
1570
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1775
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2587
19.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5262
40.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3593
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4776
6.14 IPS |
|
|
Style Transfer (HP)
|
100% |
12003
15.4 IPS |
|
|
Style Transfer (Q)
|
96% |
8601
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1640
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1213
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1562
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
98% |
447
7.72 IPS |
|
|
Machine Translation (Q)
|
98% |
311
5.38 IPS |
