iPhone 11
Geekbench AI Score
1190
Single Precision Score
3676
Half Precision Score
745
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
554
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
2816
523.6 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
28817
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3453
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
7294
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
402
4.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
1905
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25015
192.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1063
8.30 IPS |
|
|
Style Transfer (SP)
|
100% |
5392
6.93 IPS |
|
|
Style Transfer (HP)
|
100% |
11007
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4640
5.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.0 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.7 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1049
18.1 IPS |
