iPhone 11 Pro
Geekbench ML Score
1414
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1609
172.4 IPS |
|
|
Image Classification (F16)
|
100% |
1674
179.3 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3434
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5427
33.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
825
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
1422
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4428
17.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
1549
54.3 IPS |
|
|
Object Detection (F16)
|
99% |
1873
65.7 IPS |
|
|
Object Detection (I8)
|
52% |
638
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
3640
41.8 IPS |
|
|
Face Detection (F16)
|
97% |
5439
62.5 IPS |
|
|
Face Detection (I8)
|
75% |
628
7.21 IPS |
|
|
Text Classification (F32)
|
100% |
993
392.6 IPS |
|
|
Text Classification (F16)
|
98% |
1242
491.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1196
184.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1209
186.4 IPS |
