iPhone 13 mini
Geekbench AI Score
3302
Single Precision Score
5690
Half Precision Score
4602
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.6 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2504
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14139
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12072
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
1935
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5811
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3236
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5452
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11176
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7611
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17718
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26956
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21999
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3893
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4633
171.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3467
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4155
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5666
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5701
98.5 IPS |
