iPhone 13 mini
Geekbench AI Score
1921
Single Precision Score
10796
Half Precision Score
12584
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 07 2024 05:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
947
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
4390
816.4 IPS |
|
|
Image Classification (Q)
|
96% |
5239
978.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6094
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5639
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
72044
84.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
75693
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.9 IPS |
|
|
Object Detection (HP)
|
99% |
5759
458.1 IPS |
|
|
Object Detection (Q)
|
93% |
6487
517.6 IPS |
|
|
Face Detection (SP)
|
100% |
1692
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
10787
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
12587
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3166
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34726
267.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
43849
342.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9399
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
99329
127.7 IPS |
|
|
Style Transfer (Q)
|
95% |
93786
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13242
489.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18062
666.9 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3171
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2144
37.1 IPS |
