iPhone 11
Geekbench AI Score
1670
Single Precision Score
3099
Half Precision Score
2563
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:18 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% |
1390
258.4 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1479
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6360
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
5662
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
97% |
1606
127.8 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (Q)
|
100% |
1725
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2828
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5866
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4243
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7036
9.05 IPS |
|
|
Style Transfer (HP)
|
100% |
13617
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12082
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2098
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3249
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3179
54.9 IPS |
