iPhone 13 mini
Geekbench AI Score
3033
Single Precision Score
5512
Half Precision Score
4547
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
2314
430.3 IPS |
|
|
Image Classification (Q)
|
96% |
1613
301.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2413
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
12782
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11647
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
97% |
2589
206.1 IPS |
|
|
Object Detection (Q)
|
94% |
1837
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3062
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5005
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10268
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7256
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15934
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26227
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21102
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3425
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3591
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4179
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4159
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6485
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6484
112.1 IPS |
