iPhone 13 mini
Geekbench AI Score
3011
Single Precision Score
3315
Half Precision Score
2990
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1039
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
961
178.8 IPS |
|
|
Image Classification (Q)
|
96% |
753
140.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2269
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9338
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10281
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10001
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
92% |
956
76.3 IPS |
|
|
Face Detection (SP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
5030
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6935
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6760
52.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6703
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16580
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19479
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19149
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2856
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2985
110.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2685
99.2 IPS |
|
|
Text Classification (SP)
|
100% |
2551
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4291
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
760
13.1 IPS |
