iPhone 12 Mini
Geekbench AI Score
2208
Single Precision Score
3410
Half Precision Score
2917
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (Q)
|
96% |
1173
219.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1388
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4155
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
8766
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7969
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
97% |
1633
130.0 IPS |
|
|
Object Detection (Q)
|
94% |
1249
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
2024
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3868
29.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
6502
50.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4803
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11019
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18466
23.7 IPS |
|
|
Style Transfer (Q)
|
96% |
16014
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2758
101.8 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2931
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2437
42.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2190
37.8 IPS |
