iPhone 11
Geekbench AI Score
1196
Single Precision Score
3587
Half Precision Score
745
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 02:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
2748
511.0 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
3272
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
28882
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3549
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (Q)
|
94% |
295
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
400
4.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
2022
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22066
170.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1029
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
5153
6.62 IPS |
|
|
Style Transfer (HP)
|
100% |
10651
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4505
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4424
163.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
635
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.2 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.8 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1075
18.6 IPS |
