iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
508
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 03:57 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.1 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
656
70.3 IPS |
|
|
Image Classification (F16)
|
100% |
475
50.9 IPS |
|
|
Image Classification (I8)
|
81% |
211
22.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
4.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
926
5.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
1185
7.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
293
1.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
291
1.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
438
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
810
28.4 IPS |
|
|
Object Detection (F16)
|
100% |
279
9.80 IPS |
|
|
Object Detection (I8)
|
52% |
375
13.2 IPS |
|
|
Face Detection (F32)
|
100% |
981
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
907
10.4 IPS |
|
|
Face Detection (I8)
|
75% |
495
5.68 IPS |
|
|
Text Classification (F32)
|
100% |
277
109.6 IPS |
|
|
Text Classification (F16)
|
100% |
407
161.0 IPS |
|
|
Machine Translation (F32)
|
100% |
546
84.2 IPS |
|
|
Machine Translation (F16)
|
100% |
517
79.7 IPS |
