iPhone 13 mini
Geekbench AI Score
2932
Single Precision Score
3241
Half Precision Score
3057
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
615
114.4 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.8 IPS |
|
|
Image Classification (Q)
|
96% |
875
163.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2278
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9245
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10264
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10050
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (Q)
|
92% |
773
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
4490
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
5411
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3904
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7602
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6641
51.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6625
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16205
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19344
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18865
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2951
109.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2517
93.0 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4262
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4237
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
885
15.3 IPS |
