iPad Pro (9.7-inch)
Geekbench ML Score
383
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 07:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPad Pro (9.7-inch) |
| Model ID | iPad6,3 |
| Motherboard | J127AP |
| 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 | 1.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
230
24.7 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.9 IPS |
|
|
Image Classification (I8)
|
81% |
407
43.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
443
2.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
444
2.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
760
4.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
152
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
392
13.7 IPS |
|
|
Object Detection (F16)
|
100% |
389
13.7 IPS |
|
|
Object Detection (I8)
|
52% |
578
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
472
5.43 IPS |
|
|
Face Detection (F16)
|
100% |
473
5.44 IPS |
|
|
Face Detection (I8)
|
75% |
572
6.57 IPS |
|
|
Text Classification (F32)
|
100% |
607
240.2 IPS |
|
|
Text Classification (F16)
|
100% |
605
239.4 IPS |
|
|
Machine Translation (F32)
|
100% |
508
78.3 IPS |
|
|
Machine Translation (F16)
|
100% |
515
79.4 IPS |
