iPhone 12
Geekbench AI Score
1394
Single Precision Score
2206
Half Precision Score
1827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
573
106.5 IPS |
|
|
Image Classification (HP)
|
100% |
852
158.4 IPS |
|
|
Image Classification (Q)
|
96% |
613
114.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1044
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5803
6.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5019
5.88 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
97% |
947
75.4 IPS |
|
|
Object Detection (Q)
|
94% |
699
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1336
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2258
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4301
33.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
2961
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7046
9.06 IPS |
|
|
Style Transfer (HP)
|
100% |
10983
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
9093
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1416
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (Q)
|
93% |
1784
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1759
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2036
35.2 IPS |
