iPhone 11
Geekbench AI Score
805
Single Precision Score
1596
Half Precision Score
1222
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Patitan |
| Upload Date | May 12 2025 03:23 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
747
138.9 IPS |
|
|
Image Classification (Q)
|
96% |
568
106.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
735
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3727
4.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
3338
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
97% |
880
70.0 IPS |
|
|
Object Detection (Q)
|
94% |
672
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1060
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1644
12.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
3256
25.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
2413
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3852
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
6385
8.21 IPS |
|
|
Style Transfer (Q)
|
96% |
5040
6.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
721
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.6 IPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
93% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
98% |
1535
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
987
17.1 IPS |
