iPhone 12 Mini
Geekbench AI Score
2731
Single Precision Score
12187
Half Precision Score
12227
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 10:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
4617
858.6 IPS |
|
|
Image Classification (Q)
|
96% |
4878
910.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8201
132.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8455
137.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5027
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
58799
68.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59701
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
99% |
5381
428.1 IPS |
|
|
Object Detection (Q)
|
91% |
4830
385.9 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
11613
138.0 IPS |
|
|
Face Detection (Q)
|
100% |
10614
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4710
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37068
285.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
34817
272.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12759
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95503
122.8 IPS |
|
|
Style Transfer (Q)
|
96% |
92965
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18297
675.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18730
691.6 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2332
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2383
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4185
72.3 IPS |
