iPhone 12 Mini
Geekbench AI Score
2719
Single Precision Score
13337
Half Precision Score
13430
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1263
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
4604
856.2 IPS |
|
|
Image Classification (Q)
|
96% |
4857
906.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8437
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9270
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5240
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
64128
74.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
63028
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
99% |
5791
460.7 IPS |
|
|
Object Detection (Q)
|
91% |
5486
438.4 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
14643
174.0 IPS |
|
|
Face Detection (Q)
|
100% |
12071
143.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4893
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39318
302.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38251
298.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13247
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
103413
132.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106100
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2866
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19653
725.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19910
735.2 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2255
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5576
96.4 IPS |
