iPhone 12 Pro
Geekbench ML Score
1619
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 04:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.2 |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1503
161.0 IPS |
|
|
Image Classification (F16)
|
100% |
1591
170.4 IPS |
|
|
Image Classification (I8)
|
81% |
643
68.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4208
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5875
36.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1157
7.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
1491
6.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
4992
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
222
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
1660
58.2 IPS |
|
|
Object Detection (F16)
|
99% |
1690
59.3 IPS |
|
|
Object Detection (I8)
|
52% |
915
32.1 IPS |
|
|
Face Detection (F32)
|
100% |
4284
49.2 IPS |
|
|
Face Detection (F16)
|
97% |
5440
62.5 IPS |
|
|
Face Detection (I8)
|
75% |
882
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
836
330.8 IPS |
|
|
Text Classification (F16)
|
98% |
1051
415.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1681
259.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1689
260.3 IPS |
