iPhone 11
Geekbench AI Score
1144
Single Precision Score
3504
Half Precision Score
1372
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 07:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.1 IPS |
|
|
Image Classification (Q)
|
99% |
2767
516.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
100% |
499
8.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
28756
33.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
3342
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (Q)
|
94% |
236
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6690
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
347
4.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1848
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21725
167.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
23353
180.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5126
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
10673
13.7 IPS |
|
|
Style Transfer (Q)
|
100% |
10900
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
737
984.2 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.4 IPS |
|
|
Text Classification (Q)
|
93% |
424
568.9 IPS |
|
|
Machine Translation (SP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.8 IPS |
