iPhone 13 mini
Geekbench ML Score
2016
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2024 08:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
792
148.2 IPS |
|
|
Image Classification (F16)
|
100% |
555
103.8 IPS |
|
|
Image Classification (I8)
|
99% |
647
121.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1152
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1178
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1180
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8648
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9818
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
9713
11.8 IPS |
|
|
Object Detection (F32)
|
100% |
959
71.6 IPS |
|
|
Object Detection (F16)
|
100% |
1009
75.3 IPS |
|
|
Object Detection (I8)
|
97% |
944
70.5 IPS |
|
|
Face Detection (F32)
|
100% |
3908
46.5 IPS |
|
|
Face Detection (F16)
|
97% |
4091
48.6 IPS |
|
|
Face Detection (I8)
|
96% |
2892
34.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5775
44.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6046
46.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
5881
45.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16607
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
19492
25.6 IPS |
|
|
Style Transfer (I8)
|
100% |
19263
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3086
110.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3011
107.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3130
111.8 IPS |
|
|
Text Classification (F32)
|
100% |
373
535.6 IPS |
|
|
Text Classification (F16)
|
100% |
372
534.2 IPS |
|
|
Text Classification (I8)
|
96% |
207
297.8 IPS |
|
|
Machine Translation (F32)
|
100% |
458
8.42 IPS |
|
|
Machine Translation (F16)
|
100% |
452
8.32 IPS |
|
|
Machine Translation (I8)
|
99% |
393
7.24 IPS |
