iPhone 12 Mini
Geekbench AI Score
1676
Single Precision Score
1536
Half Precision Score
1588
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| 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 | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
96% |
958
178.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
726
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4432
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3793
4.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
3401
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (Q)
|
92% |
533
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (Q)
|
100% |
1770
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2494
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2301
17.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3966
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6502
8.36 IPS |
|
|
Style Transfer (HP)
|
100% |
10049
12.9 IPS |
|
|
Style Transfer (Q)
|
96% |
6189
7.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1421
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (Q)
|
93% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
724
12.5 IPS |
