iPhone 12
Geekbench ML Score
884
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 09:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
620
66.5 IPS |
|
|
Image Classification (F16)
|
100% |
611
65.5 IPS |
|
|
Image Classification (I8)
|
81% |
418
44.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
972
6.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
944
5.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1406
8.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
359
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
355
1.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
438
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
908
31.9 IPS |
|
|
Object Detection (F16)
|
100% |
896
31.4 IPS |
|
|
Object Detection (I8)
|
52% |
733
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1064
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1042
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.36 IPS |
|
|
Text Classification (F32)
|
100% |
2400
949.3 IPS |
|
|
Text Classification (F16)
|
100% |
2324
919.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1693
260.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1684
259.6 IPS |
