iPhone 11
Geekbench AI Score
1698
Single Precision Score
3150
Half Precision Score
2599
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 21 2025 06:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1474
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3549
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6458
7.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
5771
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1626
129.4 IPS |
|
|
Object Detection (Q)
|
94% |
1168
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1846
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3082
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5923
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4349
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7419
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
14095
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12185
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2714
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2154
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3239
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3201
55.3 IPS |
