iPhone 13 mini
Geekbench AI Score
3222
Single Precision Score
20273
Half Precision Score
23179
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
8118
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
10403
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13428
217.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14198
230.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6115
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
89494
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93736
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
11013
876.1 IPS |
|
|
Object Detection (Q)
|
91% |
12060
963.6 IPS |
|
|
Face Detection (SP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28954
344.0 IPS |
|
|
Face Detection (Q)
|
100% |
36335
431.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5205
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
57046
439.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
82522
644.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16599
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
152740
196.3 IPS |
|
|
Style Transfer (Q)
|
96% |
172880
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28376
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28797
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2454
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2488
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6216
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7220
124.8 IPS |
