iPhone 11
Geekbench AI Score
1696
Single Precision Score
3110
Half Precision Score
2583
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
782
145.5 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1471
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6232
7.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
5724
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1165
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1853
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3072
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5908
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4328
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7462
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
13932
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12221
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1989
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2092
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2153
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3086
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3101
53.6 IPS |
