iPhone 13 mini
Geekbench ML Score
1890
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2023 07:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 |
| 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 | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1478
158.4 IPS |
|
|
Image Classification (F16)
|
100% |
2536
271.7 IPS |
|
|
Image Classification (I8)
|
81% |
633
67.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5028
31.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7200
44.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1124
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
1979
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
4321
17.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
216
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
1698
59.6 IPS |
|
|
Object Detection (F16)
|
100% |
3020
106.0 IPS |
|
|
Object Detection (I8)
|
52% |
913
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
4850
55.7 IPS |
|
|
Face Detection (F16)
|
97% |
6286
72.2 IPS |
|
|
Face Detection (I8)
|
75% |
832
9.55 IPS |
|
|
Text Classification (F32)
|
100% |
1762
697.0 IPS |
|
|
Text Classification (F16)
|
100% |
1146
453.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2059
317.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2049
315.8 IPS |
