iPhone 12 Mini
Geekbench AI Score
2676
Single Precision Score
4753
Half Precision Score
3966
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1225
227.8 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2195
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4989
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
10838
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9578
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (HP)
|
97% |
2272
180.9 IPS |
|
|
Object Detection (Q)
|
94% |
1668
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4747
56.4 IPS |
|
|
Face Detection (Q)
|
100% |
2745
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4697
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9206
71.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6730
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12997
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22477
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19214
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3228
119.2 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4254
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4242
73.3 IPS |
