iPhone 11
Geekbench AI Score
1165
Single Precision Score
3507
Half Precision Score
718
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | luchnik |
| Upload Date | July 21 2025 02:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
539
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
2715
505.0 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
3268
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
28007
32.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3442
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
2396
190.0 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
390
4.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1957
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23463
180.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1032
8.06 IPS |
|
|
Style Transfer (SP)
|
100% |
5256
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
10830
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4451
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
602
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.3 IPS |
|
|
Text Classification (HP)
|
100% |
423
565.1 IPS |
|
|
Text Classification (Q)
|
93% |
424
569.1 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
928
16.0 IPS |
