iPhone 13 mini
Geekbench AI Score
3189
Single Precision Score
5582
Half Precision Score
4521
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 09:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2427
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6134
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13801
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11534
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2654
211.3 IPS |
|
|
Object Detection (Q)
|
94% |
1881
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5323
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
2998
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5227
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10188
78.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7157
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16405
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26399
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21504
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4692
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4234
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4187
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6092
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6122
105.8 IPS |
