iPad Pro 11-inch (2nd generation)
Geekbench ML Score
438
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 03:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
645
69.1 IPS |
|
|
Image Classification (F16)
|
100% |
647
69.3 IPS |
|
|
Image Classification (I8)
|
81% |
280
30.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
420
2.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
476
2.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
737
4.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
288
1.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
439
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
605
21.2 IPS |
|
|
Object Detection (I8)
|
52% |
446
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
517
5.94 IPS |
|
|
Face Detection (F16)
|
100% |
575
6.60 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
350
138.3 IPS |
|
|
Text Classification (F16)
|
100% |
212
83.9 IPS |
|
|
Machine Translation (F32)
|
100% |
683
105.2 IPS |
|
|
Machine Translation (F16)
|
100% |
552
85.1 IPS |
