iPhone 13 mini (Low Power Mode) iPhone 13 mini
Geekbench AI Score
1582
Single Precision Score
11536
Half Precision Score
12559
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tss6147 |
| Upload Date | February 01 2025 08:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
578
107.6 IPS |
|
|
Image Classification (HP)
|
100% |
5835
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
6118
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7566
122.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9318
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
38326
44.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
37975
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
99% |
6177
491.3 IPS |
|
|
Object Detection (Q)
|
91% |
6272
501.2 IPS |
|
|
Face Detection (SP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
12865
152.9 IPS |
|
|
Face Detection (Q)
|
100% |
16052
190.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2425
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33317
256.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
39180
306.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7943
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
77176
99.2 IPS |
|
|
Style Transfer (Q)
|
96% |
75058
96.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15411
569.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17855
659.3 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (Q)
|
93% |
1808
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4721
81.6 IPS |
