iPhone 13 mini
Geekbench AI Score
2977
Single Precision Score
5282
Half Precision Score
4251
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | September 12 2025 10:30 AM |
| Views | 7 |
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% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2108
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5026
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
11098
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8927
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
97% |
2278
181.4 IPS |
|
|
Object Detection (Q)
|
94% |
1746
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
5137
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
2880
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4906
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10127
78.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6895
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14965
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26119
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20862
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3467
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4251
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5924
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6128
105.9 IPS |
