iPad Pro (11-inch)
Geekbench ML Score
679
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 05:11 PM |
| Views | 2 |
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% |
659
70.6 IPS |
|
|
Image Classification (F16)
|
100% |
657
70.4 IPS |
|
|
Image Classification (I8)
|
81% |
170
18.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
944
5.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
938
5.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
1205
7.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
461
1.86 IPS |
|
|
Object Detection (F32)
|
100% |
989
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
984
34.5 IPS |
|
|
Object Detection (I8)
|
52% |
445
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
1175
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1173
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
716
8.23 IPS |
|
|
Text Classification (F32)
|
100% |
458
181.3 IPS |
|
|
Text Classification (F16)
|
100% |
459
181.6 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
984
151.7 IPS |
