iPhone 13 mini
Geekbench ML Score
868
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 10 2022 11:44 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.3.1 |
| 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 |
| 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 | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
745
79.8 IPS |
|
|
Image Classification (F16)
|
100% |
705
75.5 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1034
6.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
976
6.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1290
7.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
345
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
331
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
421
1.70 IPS |
|
|
Object Detection (F32)
|
100% |
964
33.8 IPS |
|
|
Object Detection (F16)
|
100% |
990
34.7 IPS |
|
|
Object Detection (I8)
|
52% |
738
25.9 IPS |
|
|
Face Detection (F32)
|
100% |
1220
14.0 IPS |
|
|
Face Detection (F16)
|
100% |
1178
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
828
9.51 IPS |
|
|
Text Classification (F32)
|
100% |
1406
556.2 IPS |
|
|
Text Classification (F16)
|
100% |
1575
623.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1883
290.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1918
295.6 IPS |
