iPhone 13 mini
Geekbench AI Score
2951
Single Precision Score
3241
Half Precision Score
3036
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 07:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.5 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
96% |
806
150.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2251
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9287
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10320
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10108
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (Q)
|
92% |
896
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3984
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6510
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6829
52.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6486
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16709
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19623
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19112
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2926
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2682
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4147
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
738
12.7 IPS |
