iPhone 13 mini
Geekbench AI Score
3175
Single Precision Score
5557
Half Precision Score
4479
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 08:45 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% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.2 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2470
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5105
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
11593
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9847
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1922
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5745
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3217
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11122
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7533
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16170
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26631
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21624
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3522
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5680
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5673
98.0 IPS |
