iPhone 12 Mini
Geekbench AI Score
1907
Single Precision Score
2254
Half Precision Score
2117
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
370
68.8 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
96% |
343
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1716
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
9405
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
8580
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
92% |
605
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3166
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5662
43.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5188
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12770
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13712
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13319
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1429
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.67 IPS |
