iPhone 12 Mini
Geekbench AI Score
2703
Single Precision Score
13147
Half Precision Score
13091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
4789
890.5 IPS |
|
|
Image Classification (Q)
|
96% |
4621
862.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8605
139.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8945
145.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5273
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
62047
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61541
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
99% |
5890
468.6 IPS |
|
|
Object Detection (Q)
|
91% |
5178
413.7 IPS |
|
|
Face Detection (SP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
14165
168.3 IPS |
|
|
Face Detection (Q)
|
100% |
11714
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4746
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
38058
293.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
39536
309.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13321
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
99051
127.3 IPS |
|
|
Style Transfer (Q)
|
96% |
100307
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18521
683.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19669
726.3 IPS |
|
|
Text Classification (SP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2228
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5515
95.3 IPS |
