iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
549
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 03:57 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.1 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
466
49.9 IPS |
|
|
Image Classification (F16)
|
100% |
423
45.3 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
895
5.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
935
5.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
1194
7.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
339
1.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
377
1.53 IPS |
|
|
Object Detection (F32)
|
100% |
599
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
646
22.7 IPS |
|
|
Object Detection (I8)
|
52% |
366
12.8 IPS |
|
|
Face Detection (F32)
|
100% |
863
9.92 IPS |
|
|
Face Detection (F16)
|
100% |
742
8.53 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
413
163.2 IPS |
|
|
Text Classification (F16)
|
100% |
425
168.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1015
156.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1015
156.5 IPS |
