iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
411
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 09:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
366
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
220
23.6 IPS |
|
|
Image Classification (I8)
|
81% |
265
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
352
2.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
460
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
82
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
198
6.95 IPS |
|
|
Object Detection (F16)
|
100% |
222
7.79 IPS |
|
|
Object Detection (I8)
|
52% |
536
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
1162
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1236
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
809
9.30 IPS |
|
|
Text Classification (F32)
|
100% |
719
284.2 IPS |
|
|
Text Classification (F16)
|
100% |
699
276.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1815
279.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1817
280.1 IPS |
