iPhone 11
Geekbench AI Score
1695
Single Precision Score
3120
Half Precision Score
2587
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
799
148.7 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6743
7.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
5943
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1833
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3048
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5542
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4133
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7589
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
14560
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12455
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2558
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2062
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2359
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3234
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3194
55.2 IPS |
