iPhone 11
Geekbench AI Score
1727
Single Precision Score
3165
Half Precision Score
2616
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 09:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6672
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5923
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
97% |
1624
129.3 IPS |
|
|
Object Detection (Q)
|
94% |
1171
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1879
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3191
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5982
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4370
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7841
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14171
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12265
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2112
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2157
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3235
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3238
56.0 IPS |
