iPhone 11
Geekbench AI Score
1656
Single Precision Score
3100
Half Precision Score
2551
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1449
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3341
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
5508
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.5 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2952
22.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5803
44.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4308
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6976
8.97 IPS |
|
|
Style Transfer (HP)
|
100% |
13607
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11723
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2078
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2143
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3149
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3132
54.1 IPS |
