iPhone 12 Mini
Geekbench AI Score
2542
Single Precision Score
12668
Half Precision Score
12397
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
4614
858.0 IPS |
|
|
Image Classification (Q)
|
96% |
5002
934.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8227
133.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8621
139.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4511
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
59755
69.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
60420
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (HP)
|
99% |
5414
430.7 IPS |
|
|
Object Detection (Q)
|
91% |
4962
396.4 IPS |
|
|
Face Detection (SP)
|
100% |
2432
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
12043
143.1 IPS |
|
|
Face Detection (Q)
|
100% |
10132
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4388
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35578
274.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
34440
269.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12176
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
109241
140.4 IPS |
|
|
Style Transfer (Q)
|
96% |
95815
123.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2577
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19568
722.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18989
701.2 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4184
72.3 IPS |
