iPhone 13 mini
Geekbench ML Score
1779
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 16 2024 01:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
943
176.5 IPS |
|
|
Image Classification (F16)
|
100% |
927
173.6 IPS |
|
|
Image Classification (I8)
|
99% |
915
171.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
508
8.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
461
7.70 IPS |
|
|
Image Segmentation (I8)
|
100% |
454
7.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
5310
6.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
10130
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10382
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
979
73.1 IPS |
|
|
Object Detection (F16)
|
100% |
1049
78.3 IPS |
|
|
Object Detection (I8)
|
97% |
963
71.9 IPS |
|
|
Face Detection (F32)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (F16)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1534
18.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3197
24.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3741
29.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3594
27.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9690
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11600
15.3 IPS |
|
|
Style Transfer (I8)
|
100% |
11776
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3024
108.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2593
92.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2572
91.8 IPS |
|
|
Text Classification (F32)
|
100% |
968
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
594
854.2 IPS |
|
|
Text Classification (I8)
|
96% |
587
844.0 IPS |
|
|
Machine Translation (F32)
|
100% |
732
13.5 IPS |
|
|
Machine Translation (F16)
|
99% |
855
15.7 IPS |
|
|
Machine Translation (I8)
|
99% |
733
13.5 IPS |
