iPhone 12 Mini
Geekbench AI Score
2587
Single Precision Score
4397
Half Precision Score
3837
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | oleker |
| Upload Date | August 18 2024 01:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.6 IPS |
|
|
Image Classification (Q)
|
99% |
1891
352.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1727
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4833
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
9576
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8614
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.5 IPS |
|
|
Object Detection (HP)
|
97% |
2124
169.1 IPS |
|
|
Object Detection (Q)
|
94% |
1531
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
2538
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4529
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8951
69.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
9039
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12083
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20125
25.9 IPS |
|
|
Style Transfer (Q)
|
100% |
20353
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3858
142.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2893
107.2 IPS |
|
|
Text Classification (SP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3652
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3586
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3468
59.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3322
57.4 IPS |
