iPhone 11
Geekbench AI Score
1608
Single Precision Score
3024
Half Precision Score
2534
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 15 2025 02:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
148.2 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (Q)
|
96% |
982
183.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1357
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
6295
7.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
5663
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
97% |
1471
117.1 IPS |
|
|
Object Detection (Q)
|
94% |
1127
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (Q)
|
100% |
1777
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5494
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4044
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7000
9.00 IPS |
|
|
Style Transfer (HP)
|
100% |
14616
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12304
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2058
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2196
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3116
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3222
55.7 IPS |
