iPhone 13 mini
Geekbench AI Score
1862
Single Precision Score
11339
Half Precision Score
12128
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
945
175.8 IPS |
|
|
Image Classification (HP)
|
100% |
5367
998.1 IPS |
|
|
Image Classification (Q)
|
99% |
5873
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3960
64.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3856
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5373
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
76610
89.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
63949
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
99% |
6500
517.1 IPS |
|
|
Object Detection (Q)
|
93% |
7711
615.3 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
10253
121.8 IPS |
|
|
Face Detection (Q)
|
100% |
12193
144.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3143
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36349
280.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
42398
327.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8981
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116227
149.4 IPS |
|
|
Style Transfer (Q)
|
100% |
122646
157.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14978
553.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19584
725.6 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2482
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2001
34.6 IPS |
