iPhone 13 mini
Geekbench AI Score
3163
Single Precision Score
20136
Half Precision Score
21873
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | December 29 2025 01:43 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
8764
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
10131
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12595
204.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15836
256.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
83393
97.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
83959
98.4 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
11179
889.2 IPS |
|
|
Object Detection (Q)
|
91% |
11404
911.2 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
27463
326.3 IPS |
|
|
Face Detection (Q)
|
100% |
34962
415.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5123
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55925
430.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
65030
508.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16769
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
151644
194.9 IPS |
|
|
Style Transfer (Q)
|
96% |
143343
185.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29523
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28134
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2433
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6299
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7317
126.4 IPS |
