iPhone 13 mini
Geekbench AI Score
3321
Single Precision Score
5711
Half Precision Score
4619
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2497
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6579
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14267
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12058
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
97% |
2744
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5804
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3249
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5556
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11246
86.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7636
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17840
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27175
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22434
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3905
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3500
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5743
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5798
100.2 IPS |
