iPhone 11
Geekbench AI Score
1507
Single Precision Score
3007
Half Precision Score
2421
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 02:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (Q)
|
96% |
969
181.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1437
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5116
5.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
4500
5.27 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.4 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1123
89.5 IPS |
|
|
Face Detection (SP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1736
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2766
21.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5760
44.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4010
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6178
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
13396
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11210
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2013
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2138
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3033
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2934
50.7 IPS |
