iPhone 13 mini
Geekbench AI Score
2981
Single Precision Score
3296
Half Precision Score
2938
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | anthonya1 |
| Upload Date | August 26 2025 04:30 PM |
| Views | 5 |
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% |
1050
195.3 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
96% |
489
91.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2207
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9297
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10321
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10024
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1085
86.0 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
92% |
872
69.6 IPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
4947
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
4123
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6869
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6759
52.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6565
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19364
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18783
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2837
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2742
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4281
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4246
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
860
14.9 IPS |
