iPhone 13 mini
Geekbench AI Score
3295
Single Precision Score
5774
Half Precision Score
4678
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 08:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14682
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12165
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1930
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2773
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5605
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5350
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10477
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7317
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17500
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27802
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22700
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3595
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4291
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4336
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6476
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6475
111.9 IPS |