iPhone 12 Mini
Geekbench AI Score
1380
Single Precision Score
2265
Half Precision Score
1860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 09:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
563
104.8 IPS |
|
|
Image Classification (HP)
|
100% |
848
157.8 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5950
6.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
5107
5.99 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
97% |
943
75.1 IPS |
|
|
Object Detection (Q)
|
94% |
717
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2245
26.7 IPS |
|
|
Face Detection (Q)
|
100% |
1317
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2208
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4047
31.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
2941
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7108
9.14 IPS |
|
|
Style Transfer (HP)
|
100% |
11475
14.8 IPS |
|
|
Style Transfer (Q)
|
96% |
9342
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1478
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2195
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2187
37.8 IPS |
