iPhone 13 mini
Geekbench AI Score
2656
Single Precision Score
2883
Half Precision Score
2803
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 14 2025 05:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.1 IPS |
|
|
Image Classification (Q)
|
96% |
453
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2241
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2074
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8703
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9758
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
9635
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (HP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
812
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3796
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
3619
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6821
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7043
54.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6977
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15197
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18456
23.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18013
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2776
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3189
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
2574
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4348
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4287
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
657
11.4 IPS |
