iPhone 12
Geekbench AI Score
1203
Single Precision Score
1771
Half Precision Score
1529
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | May 17 2025 03:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (Q)
|
96% |
505
94.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
4878
5.72 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
97% |
763
60.8 IPS |
|
|
Object Detection (Q)
|
94% |
598
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
100% |
1083
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2023
15.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
3246
25.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
2410
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6438
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
10118
13.0 IPS |
|
|
Style Transfer (Q)
|
96% |
8658
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1433
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1636
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1285
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1278
22.1 IPS |
