iPhone 13 mini
Geekbench AI Score
3097
Single Precision Score
5636
Half Precision Score
4536
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ekx |
| Upload Date | September 16 2025 06:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.4 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2373
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5717
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
13765
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11151
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
97% |
2634
209.7 IPS |
|
|
Object Detection (Q)
|
94% |
1890
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5441
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3029
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5031
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10386
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7195
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16178
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25751
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20977
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3498
129.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3592
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2553
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4252
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4205
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6392
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6346
109.7 IPS |
