iPhone 13 mini
Geekbench AI Score
2946
Single Precision Score
3061
Half Precision Score
3034
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
990
184.2 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
96% |
818
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9319
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10309
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10000
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (Q)
|
92% |
917
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
4987
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
3929
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6606
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6482
49.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6538
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16476
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19283
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19134
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2929
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2503
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4060
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
799
13.8 IPS |
