iPhone 13 mini
Geekbench AI Score
3050
Single Precision Score
5631
Half Precision Score
4522
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.1 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2423
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5603
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
13402
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11420
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
97% |
2634
209.7 IPS |
|
|
Object Detection (Q)
|
94% |
1816
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5401
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
2964
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4982
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10435
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7246
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15943
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25491
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21015
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3533
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3513
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6380
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6447
111.4 IPS |
