iPhone 13 mini
Geekbench AI Score
2981
Single Precision Score
19182
Half Precision Score
21174
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 10:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
7171
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
10419
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11894
192.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14296
231.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5232
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
78997
92.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
86519
101.4 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
99% |
10567
840.6 IPS |
|
|
Object Detection (Q)
|
91% |
11356
907.4 IPS |
|
|
Face Detection (SP)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
28174
334.8 IPS |
|
|
Face Detection (Q)
|
100% |
35872
426.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4509
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57039
439.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
67081
524.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14884
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
152680
196.3 IPS |
|
|
Style Transfer (Q)
|
96% |
141172
182.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29672
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28472
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2236
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6035
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5726
99.0 IPS |
