iPhone 12 Mini
Geekbench AI Score
1473
Single Precision Score
1724
Half Precision Score
1440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
359
66.8 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
96% |
322
60.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1606
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6065
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
8279
9.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
4915
5.76 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
92% |
470
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
2272
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2424
28.8 IPS |
|
|
Face Detection (Q)
|
100% |
1167
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1424
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3436
26.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1623
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6558
8.43 IPS |
|
|
Style Transfer (HP)
|
100% |
5040
6.48 IPS |
|
|
Style Transfer (Q)
|
96% |
5463
7.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2106
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2259
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
656
11.3 IPS |
