iPhone 12 Mini
Geekbench AI Score
2441
Single Precision Score
4372
Half Precision Score
3617
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 12:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
2043
380.0 IPS |
|
|
Image Classification (Q)
|
96% |
1456
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4400
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
9116
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8115
9.51 IPS |
|
|
Object Detection (SP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (HP)
|
97% |
2073
165.0 IPS |
|
|
Object Detection (Q)
|
94% |
1476
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2309
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
4125
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
2430
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4102
31.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8092
62.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
5652
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11209
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19044
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
16563
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3952
145.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2934
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3915
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3993
69.0 IPS |
