iPhone 11
Geekbench AI Score
1078
Single Precision Score
3356
Half Precision Score
659
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
2680
498.3 IPS |
|
|
Image Classification (Q)
|
97% |
260
48.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2836
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
25932
30.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3077
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (Q)
|
94% |
261
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
6673
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
331
3.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
1587
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20940
161.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
882
6.89 IPS |
|
|
Style Transfer (SP)
|
100% |
4340
5.58 IPS |
|
|
Style Transfer (HP)
|
100% |
9174
11.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3823
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4177
154.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
535
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
456
609.0 IPS |
|
|
Text Classification (Q)
|
93% |
455
610.3 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
