iPad Pro (9.7-inch)
Geekbench ML Score
387
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 07:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| 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% |
225
24.1 IPS |
|
|
Image Classification (F16)
|
100% |
231
24.7 IPS |
|
|
Image Classification (I8)
|
81% |
410
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
453
2.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
452
2.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
774
4.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
154
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
154
0.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
396
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
398
14.0 IPS |
|
|
Object Detection (I8)
|
52% |
579
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.52 IPS |
|
|
Face Detection (F16)
|
100% |
480
5.52 IPS |
|
|
Face Detection (I8)
|
75% |
586
6.73 IPS |
|
|
Text Classification (F32)
|
100% |
612
242.0 IPS |
|
|
Text Classification (F16)
|
100% |
612
242.1 IPS |
|
|
Machine Translation (F32)
|
100% |
509
78.4 IPS |
|
|
Machine Translation (F16)
|
100% |
534
82.3 IPS |
