iPhone 13 mini
Geekbench AI Score
2259
Single Precision Score
2393
Half Precision Score
850
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
898
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.8 IPS |
|
|
Image Classification (Q)
|
97% |
545
101.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1951
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9104
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9877
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
8934
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
960
76.1 IPS |
|
|
Object Detection (HP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (Q)
|
92% |
725
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3075
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6601
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7633
58.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16480
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18976
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17720
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2877
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2290
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.0 IPS |
|
|
Text Classification (HP)
|
100% |
352
469.9 IPS |
|
|
Text Classification (Q)
|
93% |
344
461.4 IPS |
|
|
Machine Translation (SP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
666
11.5 IPS |
