iPhone 12 Mini
Geekbench ML Score
881
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 09:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
616
66.0 IPS |
|
|
Image Classification (F16)
|
100% |
614
65.8 IPS |
|
|
Image Classification (I8)
|
81% |
410
43.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
961
5.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
936
5.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
1365
8.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
353
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
348
1.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
437
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
888
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
900
31.6 IPS |
|
|
Object Detection (I8)
|
52% |
738
25.9 IPS |
|
|
Face Detection (F32)
|
100% |
1090
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1055
12.1 IPS |
|
|
Face Detection (I8)
|
75% |
810
9.30 IPS |
|
|
Text Classification (F32)
|
100% |
2412
954.0 IPS |
|
|
Text Classification (F16)
|
100% |
2362
934.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1688
260.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1681
259.1 IPS |
