iPhone 13 mini
Geekbench AI Score
2838
Single Precision Score
3276
Half Precision Score
3024
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 09:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
564
104.8 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9124
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10284
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9844
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
100% |
1057
83.8 IPS |
|
|
Object Detection (Q)
|
92% |
841
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
4445
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
5076
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
4293
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7543
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8182
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7486
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16614
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19436
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18695
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2566
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4320
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4200
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
855
14.8 IPS |
