iPhone 13 mini
Geekbench AI Score
3272
Single Precision Score
5644
Half Precision Score
4554
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 03:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6347
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13743
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11701
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
97% |
2716
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
1914
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11036
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7474
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17086
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26947
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21801
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3847
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4144
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5602
96.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5633
97.3 IPS |
