iPhone 12 Mini
Geekbench AI Score
2512
Single Precision Score
4391
Half Precision Score
3615
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
1938
360.4 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1723
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4003
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
9105
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8204
9.62 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.7 IPS |
|
|
Object Detection (HP)
|
97% |
2094
166.7 IPS |
|
|
Object Detection (Q)
|
94% |
1545
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
2545
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4442
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8630
66.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6157
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12089
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20401
26.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17795
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3984
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3075
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3649
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2255
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4100
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4085
70.6 IPS |
