iPhone 13 mini
Geekbench AI Score
2985
Single Precision Score
4522
Half Precision Score
3874
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kystel |
| Upload Date | September 23 2024 07:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
1769
328.9 IPS |
|
|
Image Classification (Q)
|
96% |
1351
252.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1692
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5844
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13471
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10803
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2120
168.8 IPS |
|
|
Object Detection (Q)
|
94% |
1615
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
2603
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7974
61.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6051
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15886
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25472
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21101
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3552
131.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3502
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4306
74.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4274
73.9 IPS |
