iPhone 11
Geekbench AI Score
1664
Single Precision Score
3120
Half Precision Score
2568
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:13 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% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6174
7.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
5554
6.51 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1826
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2957
22.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5867
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4310
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7136
9.17 IPS |
|
|
Style Transfer (HP)
|
100% |
13773
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11878
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2802
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2099
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2160
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3202
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3191
55.1 IPS |
