iPhone 12 Mini
Geekbench AI Score
2364
Single Precision Score
3681
Half Precision Score
3064
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1138
211.7 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (Q)
|
99% |
1476
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1012
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4888
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
10204
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9016
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
97% |
1725
137.3 IPS |
|
|
Object Detection (Q)
|
94% |
1351
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
2233
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4318
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6942
53.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
3318
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12165
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20167
25.9 IPS |
|
|
Style Transfer (Q)
|
100% |
20311
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2578
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2966
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3328
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2700
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2705
46.8 IPS |
