iPhone 13 mini
Geekbench AI Score
2495
Single Precision Score
4752
Half Precision Score
4002
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 09:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
527
98.1 IPS |
|
|
Image Classification (HP)
|
100% |
1189
221.1 IPS |
|
|
Image Classification (Q)
|
96% |
1102
205.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1488
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2672
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
8917
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
7657
8.97 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
97% |
2643
210.4 IPS |
|
|
Object Detection (Q)
|
94% |
1905
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5543
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3119
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4742
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10380
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7115
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14243
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26936
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20973
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4730
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3606
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4296
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4265
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6187
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6170
106.6 IPS |
