iPhone 11
Geekbench AI Score
1210
Single Precision Score
3505
Half Precision Score
726
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 08 2026 10:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
582
108.3 IPS |
|
|
Image Classification (HP)
|
100% |
2661
494.9 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
307
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
28726
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3448
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
282
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7440
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
388
4.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
1908
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24362
187.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1019
7.96 IPS |
|
|
Style Transfer (SP)
|
100% |
5256
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
10448
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4475
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3790
140.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
610
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
475
633.7 IPS |
|
|
Text Classification (Q)
|
93% |
465
623.5 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
992
17.1 IPS |
