iPhone 11
Geekbench AI Score
1618
Single Precision Score
3096
Half Precision Score
2552
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 12:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
783
145.6 IPS |
|
|
Image Classification (HP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1462
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3443
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6234
7.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
5560
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1605
127.8 IPS |
|
|
Object Detection (Q)
|
94% |
1152
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1736
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2828
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5893
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4203
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6929
8.91 IPS |
|
|
Style Transfer (HP)
|
100% |
13621
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11854
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2113
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3184
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3179
54.9 IPS |
