iPhone 11
Geekbench AI Score
1687
Single Precision Score
3079
Half Precision Score
2599
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 17 2025 03:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
797
148.3 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.1 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3599
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
5781
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (HP)
|
97% |
1567
124.8 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1832
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3001
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5484
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4102
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7391
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
14462
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12503
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2699
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2076
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2595
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3138
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3128
54.1 IPS |
