iPhone 12
Geekbench ML Score
1615
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 17 2023 01:13 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1391
149.1 IPS |
|
|
Image Classification (F16)
|
100% |
1629
174.5 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4231
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5848
36.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1173
7.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
1491
6.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
4979
20.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
1657
58.2 IPS |
|
|
Object Detection (F16)
|
99% |
1694
59.5 IPS |
|
|
Object Detection (I8)
|
52% |
918
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
4234
48.6 IPS |
|
|
Face Detection (F16)
|
97% |
5435
62.4 IPS |
|
|
Face Detection (I8)
|
75% |
891
10.2 IPS |
|
|
Text Classification (F32)
|
100% |
834
329.8 IPS |
|
|
Text Classification (F16)
|
98% |
1049
414.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1692
260.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1697
261.6 IPS |
