iPhone 11
Geekbench AI Score
1565
Single Precision Score
2664
Half Precision Score
2270
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.6 IPS |
|
|
Image Classification (Q)
|
96% |
862
160.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1068
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6180
7.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
5483
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.7 IPS |
|
|
Object Detection (HP)
|
97% |
1290
102.7 IPS |
|
|
Object Detection (Q)
|
94% |
991
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2588
30.8 IPS |
|
|
Face Detection (Q)
|
100% |
1610
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2747
21.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
4867
37.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3606
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6434
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
13024
16.7 IPS |
|
|
Style Transfer (Q)
|
96% |
10830
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2065
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2382
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2337
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2351
40.6 IPS |
