iPhone 13 mini
Geekbench AI Score
1558
Single Precision Score
2641
Half Precision Score
2128
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 10:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
575
106.9 IPS |
|
|
Image Classification (HP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (Q)
|
96% |
717
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6467
7.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
5503
6.45 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
97% |
1190
94.8 IPS |
|
|
Object Detection (Q)
|
94% |
858
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (Q)
|
100% |
1446
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2370
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4562
35.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3166
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7888
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12430
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10295
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2265
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1653
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2024
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3169
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3189
55.1 IPS |
