iPhone 13 mini
Geekbench AI Score
3171
Single Precision Score
5538
Half Precision Score
4476
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 07:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.8 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2385
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
13610
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11498
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2582
205.6 IPS |
|
|
Object Detection (Q)
|
94% |
1837
146.4 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3017
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5079
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10056
77.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7038
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16330
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26290
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21213
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4701
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4174
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5926
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6002
103.7 IPS |
