iPhone 13 mini
Geekbench ML Score
1946
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 01:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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% |
942
176.3 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.7 IPS |
|
|
Image Classification (I8)
|
99% |
908
169.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
641
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
568
9.48 IPS |
|
|
Image Segmentation (I8)
|
100% |
569
9.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
5817
7.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
9719
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
9574
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (F16)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (I8)
|
97% |
1050
78.4 IPS |
|
|
Face Detection (F32)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (I8)
|
99% |
1624
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3387
26.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3688
28.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3678
28.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10302
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11850
15.6 IPS |
|
|
Style Transfer (I8)
|
100% |
11865
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2552
91.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2592
92.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2597
92.7 IPS |
|
|
Text Classification (F32)
|
100% |
988
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.8 IPS |
|
|
Text Classification (I8)
|
96% |
613
881.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1783
32.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
