iPhone 13 mini
Geekbench AI Score
1590
Single Precision Score
9521
Half Precision Score
10219
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
584
108.6 IPS |
|
|
Image Classification (HP)
|
100% |
5902
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
6147
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4135
67.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4552
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
38050
44.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
37997
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
99% |
6178
491.5 IPS |
|
|
Object Detection (Q)
|
91% |
6427
513.5 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
12779
151.8 IPS |
|
|
Face Detection (Q)
|
100% |
16136
191.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2493
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33287
256.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
39434
308.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7929
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
78022
100.3 IPS |
|
|
Style Transfer (Q)
|
96% |
75365
97.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15583
575.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17907
661.2 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (Q)
|
93% |
1796
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1179
20.4 IPS |
