iPad Pro (12.9-inch)
Geekbench ML Score
368
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 06:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| 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% |
225
24.1 IPS |
|
|
Image Classification (I8)
|
81% |
403
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
451
2.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
449
2.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
750
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
135
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
365
12.8 IPS |
|
|
Object Detection (F16)
|
100% |
378
13.3 IPS |
|
|
Object Detection (I8)
|
52% |
571
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
491
5.65 IPS |
|
|
Face Detection (F16)
|
100% |
489
5.62 IPS |
|
|
Face Detection (I8)
|
75% |
543
6.24 IPS |
|
|
Text Classification (F32)
|
100% |
555
219.3 IPS |
|
|
Text Classification (F16)
|
100% |
550
217.4 IPS |
|
|
Machine Translation (F32)
|
100% |
441
68.0 IPS |
|
|
Machine Translation (F16)
|
100% |
484
74.6 IPS |
