iPhone 11 Pro Max
Geekbench ML Score
714
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 09:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| 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 | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
537
57.6 IPS |
|
|
Image Classification (F16)
|
100% |
526
56.4 IPS |
|
|
Image Classification (I8)
|
81% |
319
34.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
873
5.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
5.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1106
6.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
336
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
776
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
772
27.1 IPS |
|
|
Object Detection (I8)
|
52% |
609
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
960
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
995
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
714
8.21 IPS |
|
|
Text Classification (F32)
|
100% |
1653
654.0 IPS |
|
|
Text Classification (F16)
|
100% |
1818
718.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1196
184.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1196
184.4 IPS |
