iPad Pro (9.7-inch)
Geekbench ML Score
376
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 01:37 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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% |
226
24.2 IPS |
|
|
Image Classification (F16)
|
100% |
226
24.3 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
444
2.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
444
2.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
760
4.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
148
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
388
13.6 IPS |
|
|
Object Detection (F16)
|
100% |
388
13.6 IPS |
|
|
Object Detection (I8)
|
52% |
579
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
469
5.39 IPS |
|
|
Face Detection (F16)
|
100% |
466
5.36 IPS |
|
|
Face Detection (I8)
|
75% |
507
5.82 IPS |
|
|
Text Classification (F32)
|
100% |
602
238.0 IPS |
|
|
Text Classification (F16)
|
100% |
603
238.3 IPS |
|
|
Machine Translation (F32)
|
100% |
514
79.3 IPS |
|
|
Machine Translation (F16)
|
100% |
453
69.8 IPS |
