iPhone 11
Geekbench AI Score
1109
Single Precision Score
1302
Half Precision Score
713
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 08 2025 06:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
3246
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5558
6.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
3325
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (HP)
|
98% |
731
58.2 IPS |
|
|
Object Detection (Q)
|
94% |
322
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (Q)
|
100% |
335
3.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
1591
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2073
16.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
897
7.01 IPS |
|
|
Style Transfer (SP)
|
100% |
4316
5.55 IPS |
|
|
Style Transfer (HP)
|
100% |
6858
8.82 IPS |
|
|
Style Transfer (Q)
|
96% |
3926
5.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.5 IPS |
|
|
Text Classification (HP)
|
100% |
416
555.7 IPS |
|
|
Text Classification (Q)
|
93% |
415
556.8 IPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1081
18.7 IPS |
