iPhone 11
Geekbench AI Score
1229
Single Precision Score
3477
Half Precision Score
723
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
580
107.9 IPS |
|
|
Image Classification (HP)
|
100% |
2749
511.3 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
307
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
3401
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
28518
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3307
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (HP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (Q)
|
94% |
277
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
7030
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
399
4.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
2002
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23601
181.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1031
8.06 IPS |
|
|
Style Transfer (SP)
|
100% |
5487
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
10455
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4429
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
599
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (Q)
|
93% |
461
618.5 IPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
995
17.2 IPS |
