iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
684
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 08:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
641
68.7 IPS |
|
|
Image Classification (F16)
|
100% |
642
68.8 IPS |
|
|
Image Classification (I8)
|
81% |
205
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
930
5.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
936
5.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
1200
7.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (I8)
|
80% |
469
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
983
34.5 IPS |
|
|
Object Detection (F16)
|
100% |
981
34.4 IPS |
|
|
Object Detection (I8)
|
52% |
431
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
1164
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1166
13.4 IPS |
|
|
Face Detection (I8)
|
75% |
721
8.29 IPS |
|
|
Text Classification (F32)
|
100% |
462
182.5 IPS |
|
|
Text Classification (F16)
|
100% |
459
181.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1014
156.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1012
155.9 IPS |
