iPhone 12 Mini
Geekbench AI Score
2496
Single Precision Score
4445
Half Precision Score
3768
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tricky |
| Upload Date | October 09 2025 10:44 AM |
| Views | 7 |
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% |
1218
226.5 IPS |
|
|
Image Classification (HP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (Q)
|
96% |
1448
270.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2065
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
9775
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9003
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (HP)
|
97% |
2137
170.1 IPS |
|
|
Object Detection (Q)
|
94% |
1552
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3778
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
2466
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4156
32.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8502
65.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6279
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12184
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20753
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17898
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2575
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4005
147.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3093
114.2 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2232
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4162
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4168
72.0 IPS |
