iPhone 13 mini
Geekbench AI Score
2918
Single Precision Score
2958
Half Precision Score
2947
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ekx |
| Upload Date | September 16 2025 06:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
96% |
608
113.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2229
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9301
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10326
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10011
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.4 IPS |
|
|
Object Detection (Q)
|
92% |
897
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
3882
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6809
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6327
48.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6570
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16548
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19383
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19008
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2853
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2674
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4086
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
769
13.3 IPS |
