iPhone 13 mini
Geekbench AI Score
2740
Single Precision Score
3976
Half Precision Score
3445
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tom526 |
| Upload Date | September 15 2024 04:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (Q)
|
96% |
1074
200.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1448
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4473
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9158
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
97% |
1909
152.0 IPS |
|
|
Object Detection (Q)
|
94% |
1478
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
2237
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4444
34.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7258
56.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5363
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14884
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23511
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19576
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3324
122.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4631
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3345
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (Q)
|
93% |
3423
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4180
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4171
72.1 IPS |
