iPhone 11
Geekbench AI Score
1696
Single Precision Score
3130
Half Precision Score
2571
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
788
146.5 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3596
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6437
7.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
5736
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
97% |
1612
128.4 IPS |
|
|
Object Detection (Q)
|
94% |
1166
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1847
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3095
23.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5927
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4343
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7373
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
13766
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11994
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3184
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2996
51.8 IPS |
