iPhone 13 mini
Geekbench AI Score
3156
Single Precision Score
5748
Half Precision Score
4693
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 10:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
2403
446.8 IPS |
|
|
Image Classification (Q)
|
96% |
1663
310.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6043
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14441
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12072
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1942
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5581
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3215
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5245
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10647
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7468
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16587
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26642
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22390
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4764
175.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3654
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4167
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4091
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6697
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6647
114.9 IPS |
