iPhone 12 Mini
Geekbench AI Score
1951
Single Precision Score
2181
Half Precision Score
2080
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 01:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
420
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
96% |
336
62.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1719
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6095
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
9219
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
8311
9.74 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
92% |
601
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
3135
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3993
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5670
43.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5192
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12814
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13595
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13268
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1247
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3771
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
98% |
520
8.98 IPS |
