iPhone 12 Mini
Geekbench AI Score
1564
Single Precision Score
10052
Half Precision Score
10677
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
764
142.1 IPS |
|
|
Image Classification (HP)
|
100% |
4713
876.5 IPS |
|
|
Image Classification (Q)
|
99% |
5417
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3587
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4400
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
58492
68.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
61148
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (HP)
|
99% |
6044
480.8 IPS |
|
|
Object Detection (Q)
|
93% |
5671
452.5 IPS |
|
|
Face Detection (SP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
9059
107.6 IPS |
|
|
Face Detection (Q)
|
100% |
10829
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2825
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34877
268.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
39757
307.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7392
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
94071
120.9 IPS |
|
|
Style Transfer (Q)
|
100% |
99813
128.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14738
544.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17385
644.1 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2553
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2509
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1525
26.4 IPS |
