iPhone 13 mini
Geekbench AI Score
3099
Single Precision Score
19570
Half Precision Score
22233
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:16 PM |
| Views | 2 |
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% |
1260
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
7596
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
10484
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13427
217.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15537
251.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5549
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
80554
94.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
85224
99.9 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
11118
884.4 IPS |
|
|
Object Detection (Q)
|
91% |
11917
952.2 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
28371
337.1 IPS |
|
|
Face Detection (Q)
|
100% |
36040
428.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5047
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
58430
450.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
76157
595.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16018
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
142679
183.4 IPS |
|
|
Style Transfer (Q)
|
96% |
145918
188.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28185
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27575
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2283
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7077
122.3 IPS |
