iPhone 12 Mini
Geekbench AI Score
2583
Single Precision Score
4455
Half Precision Score
3696
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 05:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2079
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4728
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
9625
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8680
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.8 IPS |
|
|
Object Detection (HP)
|
97% |
2143
170.6 IPS |
|
|
Object Detection (Q)
|
94% |
1542
122.9 IPS |
|
|
Face Detection (SP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4461
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
2540
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4410
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8509
65.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6158
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11821
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20552
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17721
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3091
114.1 IPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3656
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3990
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4009
69.3 IPS |
