iPhone 13 mini
Geekbench AI Score
3268
Single Precision Score
5664
Half Precision Score
4575
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 10 2025 05:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2491
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
13956
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11958
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2725
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1914
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5657
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5420
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11203
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7566
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17543
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26721
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21936
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3847
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4624
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3465
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5652
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5706
98.6 IPS |
