iPhone 13 mini
Geekbench AI Score
2862
Single Precision Score
3307
Half Precision Score
2913
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 09:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1024
190.4 IPS |
|
|
Image Classification (HP)
|
100% |
919
170.9 IPS |
|
|
Image Classification (Q)
|
96% |
554
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2227
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9333
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10403
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10088
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
92% |
886
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
4159
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6717
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6837
52.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6372
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16435
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19214
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18732
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2962
109.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2619
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4225
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
