iPad Pro (11-inch)
Geekbench ML Score
690
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 05:14 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
643
68.9 IPS |
|
|
Image Classification (F16)
|
100% |
643
68.9 IPS |
|
|
Image Classification (I8)
|
81% |
242
25.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
947
5.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
933
5.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
1210
7.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
451
1.83 IPS |
|
|
Pose Estimation (I8)
|
80% |
464
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
988
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
984
34.5 IPS |
|
|
Object Detection (I8)
|
52% |
435
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
1170
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1174
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
697
8.01 IPS |
|
|
Text Classification (F32)
|
100% |
463
183.3 IPS |
|
|
Text Classification (F16)
|
100% |
477
188.8 IPS |
|
|
Machine Translation (F32)
|
100% |
986
151.9 IPS |
|
|
Machine Translation (F16)
|
100% |
984
151.7 IPS |
