iPhone 11
Geekbench AI Score
937
Single Precision Score
1811
Half Precision Score
1473
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 09:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
444
82.5 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.5 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
743
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1820
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3712
4.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
3328
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
97% |
930
74.0 IPS |
|
|
Object Detection (Q)
|
94% |
668
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (Q)
|
100% |
1093
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1748
13.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
3411
26.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
2449
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4107
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
8125
10.4 IPS |
|
|
Style Transfer (Q)
|
96% |
6874
8.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1243
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1465
1.95 KIPS |
|
|
Text Classification (Q)
|
93% |
1455
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1762
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1650
28.5 IPS |
