iPad Pro (12.9-inch 2nd Generation)
Geekbench ML Score
640
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPad Pro (12.9-inch 2nd Generation) |
| Model ID | iPad7,2 |
| Motherboard | J121AP |
| CPU Information | |
|---|---|
| Name | Apple A10X Fusion |
| Topology | 1 Processor, 3 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
391
41.9 IPS |
|
|
Image Classification (F16)
|
100% |
391
41.9 IPS |
|
|
Image Classification (I8)
|
81% |
824
88.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
637
3.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
636
3.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
1482
9.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
354
1.43 IPS |
|
|
Object Detection (F32)
|
100% |
657
23.0 IPS |
|
|
Object Detection (F16)
|
100% |
665
23.4 IPS |
|
|
Object Detection (I8)
|
52% |
1144
40.2 IPS |
|
|
Face Detection (F32)
|
100% |
846
9.72 IPS |
|
|
Face Detection (F16)
|
100% |
847
9.73 IPS |
|
|
Face Detection (I8)
|
75% |
1129
13.0 IPS |
|
|
Text Classification (F32)
|
100% |
694
274.6 IPS |
|
|
Text Classification (F16)
|
100% |
695
274.8 IPS |
|
|
Machine Translation (F32)
|
100% |
752
115.9 IPS |
|
|
Machine Translation (F16)
|
100% |
751
115.8 IPS |
