iPhone 13 mini
Geekbench AI Score
2081
Single Precision Score
2404
Half Precision Score
2000
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.6 IPS |
|
|
Image Classification (Q)
|
99% |
804
149.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1912
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9129
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9840
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8922
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (HP)
|
100% |
854
67.7 IPS |
|
|
Object Detection (Q)
|
92% |
611
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4963
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
2813
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6122
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8040
61.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
7865
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16435
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18815
24.2 IPS |
|
|
Style Transfer (Q)
|
100% |
18670
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2949
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2336
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
359
478.7 IPS |
|
|
Text Classification (HP)
|
100% |
358
477.5 IPS |
|
|
Text Classification (Q)
|
93% |
204
273.6 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
621
10.7 IPS |
