iPhone 11
Geekbench AI Score
926
Single Precision Score
1760
Half Precision Score
1485
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Kuwait |
| Upload Date | October 27 2024 05:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (Q)
|
96% |
547
102.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
754
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3629
4.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
3279
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
97% |
939
74.7 IPS |
|
|
Object Detection (Q)
|
94% |
694
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1050
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1588
12.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
3108
24.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
2289
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3976
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
7768
9.99 IPS |
|
|
Style Transfer (Q)
|
96% |
6732
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1090
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1227
45.3 IPS |
|
|
Text Classification (SP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (Q)
|
93% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1790
30.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1832
31.7 IPS |
