iPhone 11
Geekbench AI Score
573
Single Precision Score
1340
Half Precision Score
1123
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 08:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.8 IPS |
|
|
Image Classification (Q)
|
96% |
522
97.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3682
4.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
3268
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
97% |
763
60.8 IPS |
|
|
Object Detection (Q)
|
94% |
265
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
100% |
1043
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1381
10.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
2935
22.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1479
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2286
2.94 IPS |
|
|
Style Transfer (HP)
|
100% |
4637
5.96 IPS |
|
|
Style Transfer (Q)
|
96% |
4027
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1191
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.3 IPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (HP)
|
98% |
1000
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1596
27.6 IPS |
