iPhone 11 (A2111) iPhone 11
Geekbench AI Score
1181
Single Precision Score
3509
Half Precision Score
726
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 06:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
539
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
2709
503.9 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
27936
32.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3408
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2373
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
6984
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22341
172.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1042
8.14 IPS |
|
|
Style Transfer (SP)
|
100% |
5306
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
10904
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4559
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
631
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
730
973.9 IPS |
|
|
Text Classification (HP)
|
100% |
430
574.5 IPS |
|
|
Text Classification (Q)
|
93% |
426
571.5 IPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
983
17.0 IPS |
