iPhone 12 Mini
Geekbench AI Score
2416
Single Precision Score
4176
Half Precision Score
3589
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 12:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1131
210.3 IPS |
|
|
Image Classification (HP)
|
100% |
1738
323.3 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1953
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4322
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
8512
9.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
7998
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
1144
90.7 IPS |
|
|
Object Detection (HP)
|
97% |
2030
161.6 IPS |
|
|
Object Detection (Q)
|
94% |
1448
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
2312
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4169
32.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7948
61.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6025
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11248
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20267
26.1 IPS |
|
|
Style Transfer (Q)
|
96% |
17792
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4015
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3080
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4022
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4069
70.3 IPS |
