iPhone 13 mini (Low Power Mode) iPhone 13 mini
Geekbench AI Score
2248
Single Precision Score
2468
Half Precision Score
2105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tss6147 |
| Upload Date | February 01 2025 08:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
876
163.0 IPS |
|
|
Image Classification (HP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (Q)
|
97% |
681
127.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1665
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6638
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
10002
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
6670
7.82 IPS |
|
|
Object Detection (SP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
91% |
746
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
2648
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5881
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5887
45.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4879
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16590
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19252
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
16559
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2699
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2339
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1972
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
98% |
307
5.30 IPS |
