iPhone 13 mini
Geekbench AI Score
2123
Single Precision Score
3717
Half Precision Score
3234
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 10:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1239
230.3 IPS |
|
|
Image Classification (HP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1246
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
4233
4.96 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
97% |
1925
153.3 IPS |
|
|
Object Detection (Q)
|
94% |
1271
101.3 IPS |
|
|
Face Detection (SP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (Q)
|
100% |
2173
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3202
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7143
55.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4931
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10044
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18982
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14498
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2523
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2697
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3222
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4271
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4252
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2967
51.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5261
90.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5642
97.5 IPS |
