iPhone 13 mini
Geekbench AI Score
2779
Single Precision Score
3470
Half Precision Score
3186
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
915
170.2 IPS |
|
|
Image Classification (Q)
|
96% |
716
133.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2241
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9296
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10247
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9871
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (HP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (Q)
|
92% |
1522
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4921
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
4239
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7565
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8193
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
7440
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16429
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19448
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18522
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2756
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2555
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
750
13.0 IPS |
