iPhone 11
Geekbench AI Score
1671
Single Precision Score
3158
Half Precision Score
2609
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 17 2025 03:36 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% |
798
148.3 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3635
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6591
7.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
5866
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1828
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2975
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5564
43.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4126
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7425
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
14521
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12493
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2076
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2582
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3224
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3175
54.9 IPS |
