iPhone 11 Pro
Geekbench ML Score
1310
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | July 22 2021 09:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| 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% |
1400
150.0 IPS |
|
|
Image Classification (F16)
|
100% |
1646
176.4 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3427
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5433
33.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
834
5.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
1420
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4409
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1558
54.7 IPS |
|
|
Object Detection (F16)
|
99% |
1867
65.5 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
3633
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
5210
59.9 IPS |
|
|
Face Detection (I8)
|
75% |
632
7.27 IPS |
|
|
Text Classification (F32)
|
100% |
983
388.6 IPS |
|
|
Text Classification (F16)
|
98% |
1251
495.0 IPS |
|
|
Machine Translation (F32)
|
100% |
960
148.0 IPS |
|
|
Machine Translation (F16)
|
100% |
419
64.6 IPS |
