iPhone 13 mini
Geekbench AI Score
2823
Single Precision Score
5324
Half Precision Score
4305
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 14 2026 08:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2404
447.1 IPS |
|
|
Image Classification (Q)
|
96% |
1599
298.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2346
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5547
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13278
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10994
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
97% |
2577
205.2 IPS |
|
|
Object Detection (Q)
|
94% |
1835
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
2866
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4360
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8977
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6041
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11140
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23531
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17148
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5969
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6493
112.2 IPS |
