iPad Pro (12.9-inch)
Geekbench ML Score
362
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| Model | iPad Pro (12.9-inch) |
| Model ID | iPad6,7 |
| Motherboard | J98aAP |
| CPU Information | |
|---|---|
| Name | Apple A9X |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.26 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
226
24.2 IPS |
|
|
Image Classification (F16)
|
100% |
226
24.2 IPS |
|
|
Image Classification (I8)
|
81% |
383
41.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
441
2.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
442
2.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
717
4.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
321
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
324
11.4 IPS |
|
|
Object Detection (I8)
|
52% |
430
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.53 IPS |
|
|
Face Detection (F16)
|
100% |
481
5.52 IPS |
|
|
Face Detection (I8)
|
75% |
543
6.24 IPS |
|
|
Text Classification (F32)
|
100% |
591
233.9 IPS |
|
|
Text Classification (F16)
|
100% |
593
234.7 IPS |
|
|
Machine Translation (F32)
|
100% |
505
77.8 IPS |
|
|
Machine Translation (F16)
|
100% |
498
76.7 IPS |
