iPhone 13 mini
Geekbench AI Score
3104
Single Precision Score
5359
Half Precision Score
4266
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Meinlsync |
| Upload Date | March 01 2025 11:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.1 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2318
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5645
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
12455
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10181
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
97% |
2547
202.8 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5311
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
2911
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4982
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10562
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6920
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15791
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24515
31.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20282
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3262
120.5 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5322
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5328
92.1 IPS |
