iPhone 13 mini
Geekbench AI Score
2943
Single Precision Score
2955
Half Precision Score
2860
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 10:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (Q)
|
94% |
859
160.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2244
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9090
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10287
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9897
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1114
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (Q)
|
90% |
761
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (Q)
|
100% |
3195
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7573
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6805
52.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6971
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16541
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19497
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18967
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2809
103.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1741
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4135
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
832
14.4 IPS |
