iPhone 13 mini
Geekbench AI Score
3049
Single Precision Score
5541
Half Precision Score
4517
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 02:53 PM |
| Views | 3 |
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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
2383
443.2 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2375
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5604
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
13517
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10848
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2601
207.0 IPS |
|
|
Object Detection (Q)
|
94% |
1884
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5304
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
3032
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5002
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10335
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7149
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16196
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25449
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21399
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3489
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3592
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4136
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6279
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6338
109.5 IPS |
