iPhone 12 Mini
Geekbench AI Score
1657
Single Precision Score
11163
Half Precision Score
9033
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
766
142.4 IPS |
|
|
Image Classification (HP)
|
100% |
4838
899.7 IPS |
|
|
Image Classification (Q)
|
96% |
4665
871.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
3779
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
452
7.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
4722
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
62919
73.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
60460
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
99% |
5878
467.5 IPS |
|
|
Object Detection (Q)
|
93% |
5532
441.4 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
11251
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
10629
126.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3076
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37852
291.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
44085
344.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8831
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
105478
135.6 IPS |
|
|
Style Transfer (Q)
|
96% |
101452
130.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15515
572.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16820
621.1 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3271
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1961
33.9 IPS |
