iPhone 13 mini
Geekbench AI Score
1574
Single Precision Score
11372
Half Precision Score
12432
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 05:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
571
106.2 IPS |
|
|
Image Classification (HP)
|
100% |
5749
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5983
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7625
123.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9264
150.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2979
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
38228
44.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
37956
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
99% |
5930
471.7 IPS |
|
|
Object Detection (Q)
|
91% |
6290
502.6 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
12861
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
16022
190.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2404
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32661
251.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38113
297.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7936
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
76796
98.7 IPS |
|
|
Style Transfer (Q)
|
96% |
74710
96.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15411
569.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17859
659.4 IPS |
|
|
Text Classification (SP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (Q)
|
93% |
1770
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4274
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4623
79.9 IPS |
