iPhone 11
Geekbench AI Score
1678
Single Precision Score
3113
Half Precision Score
2561
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 03:04 AM |
| 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% |
788
146.5 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
96% |
999
186.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1455
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3472
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
5513
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1610
128.2 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1846
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3011
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5893
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4304
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7111
9.14 IPS |
|
|
Style Transfer (HP)
|
100% |
13941
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11888
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2095
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2142
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3078
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3101
53.6 IPS |
