iPhone 12 Pro
Geekbench ML Score
1581
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 12:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1350
144.7 IPS |
|
|
Image Classification (F16)
|
100% |
1443
154.6 IPS |
|
|
Image Classification (I8)
|
81% |
641
68.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4205
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5682
35.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1107
6.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
1491
6.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
4992
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
203
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
1628
57.1 IPS |
|
|
Object Detection (F16)
|
99% |
1696
59.5 IPS |
|
|
Object Detection (I8)
|
52% |
871
30.6 IPS |
|
|
Face Detection (F32)
|
100% |
4293
49.3 IPS |
|
|
Face Detection (F16)
|
97% |
5461
62.7 IPS |
|
|
Face Detection (I8)
|
75% |
829
9.52 IPS |
|
|
Text Classification (F32)
|
100% |
854
337.6 IPS |
|
|
Text Classification (F16)
|
98% |
1094
432.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1662
256.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1671
257.5 IPS |
