iPhone 13 mini
Geekbench AI Score
2873
Single Precision Score
3337
Half Precision Score
3089
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | September 12 2025 10:23 AM |
| Views | 6 |
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% |
586
108.9 IPS |
|
|
Image Classification (HP)
|
100% |
1120
208.3 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2335
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9365
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10275
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10194
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1162
92.2 IPS |
|
|
Object Detection (HP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (Q)
|
92% |
821
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4853
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
4138
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6878
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6544
50.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6682
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16676
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19564
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19110
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2945
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2670
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4303
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4232
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
