iPhone 13 mini
Geekbench AI Score
3042
Single Precision Score
18670
Half Precision Score
21181
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:55 AM |
| Views | 1 |
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% |
1245
231.5 IPS |
|
|
Image Classification (HP)
|
100% |
7787
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
9856
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11998
194.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15191
246.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5340
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
74875
87.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
80712
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.2 IPS |
|
|
Object Detection (HP)
|
99% |
10276
817.4 IPS |
|
|
Object Detection (Q)
|
91% |
11361
907.8 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
28025
333.0 IPS |
|
|
Face Detection (Q)
|
100% |
36547
434.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5016
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58331
449.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
64406
503.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15690
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
153384
197.2 IPS |
|
|
Style Transfer (Q)
|
96% |
150902
194.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3534
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29368
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27900
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1983
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6738
116.4 IPS |
