iPhone 13 mini
Geekbench AI Score
2940
Single Precision Score
3157
Half Precision Score
3251
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Swaddy |
| Upload Date | December 28 2025 09:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1016
189.0 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (Q)
|
94% |
849
158.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2216
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9272
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10285
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9983
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (Q)
|
90% |
1631
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5184
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
4147
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6675
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6745
52.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6397
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16442
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19219
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19276
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2946
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2581
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
2529
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
829
14.3 IPS |
