iPhone 12 Pro Max
Geekbench ML Score
1595
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 04:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| 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% |
1351
144.8 IPS |
|
|
Image Classification (F16)
|
100% |
1341
143.7 IPS |
|
|
Image Classification (I8)
|
81% |
644
68.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4055
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5795
35.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1174
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
1468
5.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
4856
19.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
220
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
1658
58.2 IPS |
|
|
Object Detection (F16)
|
99% |
1692
59.4 IPS |
|
|
Object Detection (I8)
|
52% |
920
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
4195
48.2 IPS |
|
|
Face Detection (F16)
|
97% |
5421
62.3 IPS |
|
|
Face Detection (I8)
|
75% |
898
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
850
336.0 IPS |
|
|
Text Classification (F16)
|
98% |
1097
434.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1697
261.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
262.7 IPS |
