iPad Pro 11-inch (2nd generation)
Geekbench ML Score
687
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 12:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z 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 | 5.56 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% |
226
24.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
945
5.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
948
5.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
1203
7.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
451
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
448
1.81 IPS |
|
|
Pose Estimation (I8)
|
80% |
473
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
986
34.6 IPS |
|
|
Object Detection (F16)
|
100% |
984
34.5 IPS |
|
|
Object Detection (I8)
|
52% |
442
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
1170
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1169
13.4 IPS |
|
|
Face Detection (I8)
|
75% |
688
7.90 IPS |
|
|
Text Classification (F32)
|
100% |
468
185.0 IPS |
|
|
Text Classification (F16)
|
100% |
461
182.4 IPS |
|
|
Machine Translation (F32)
|
100% |
987
152.2 IPS |
|
|
Machine Translation (F16)
|
100% |
986
152.0 IPS |
