iPhone 12 Mini
Geekbench AI Score
2618
Single Precision Score
4671
Half Precision Score
3915
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2173
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
10207
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9168
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1164
92.4 IPS |
|
|
Object Detection (HP)
|
97% |
2228
177.4 IPS |
|
|
Object Detection (Q)
|
94% |
1639
130.6 IPS |
|
|
Face Detection (SP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
2648
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4586
35.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8897
68.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6637
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12589
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21193
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18833
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3207
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4258
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.4 IPS |
