iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2631
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2022 06:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4119
441.3 IPS |
|
|
Image Classification (F16)
|
100% |
5742
615.2 IPS |
|
|
Image Classification (I8)
|
81% |
674
72.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
7797
48.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
11283
69.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1212
7.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
2806
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
6685
27.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
213
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
3738
131.2 IPS |
|
|
Object Detection (F16)
|
100% |
3796
133.2 IPS |
|
|
Object Detection (I8)
|
52% |
725
25.4 IPS |
|
|
Face Detection (F32)
|
100% |
6792
78.0 IPS |
|
|
Face Detection (F16)
|
97% |
12111
139.1 IPS |
|
|
Face Detection (I8)
|
75% |
672
7.72 IPS |
|
|
Text Classification (F32)
|
100% |
3042
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3270
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1513
233.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1657
255.4 IPS |
