iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2830
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 04:55 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4159
445.6 IPS |
|
|
Image Classification (F16)
|
100% |
5809
622.4 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
8126
50.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
11868
73.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1251
7.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
2870
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6829
27.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
3521
123.6 IPS |
|
|
Object Detection (F16)
|
100% |
3427
120.3 IPS |
|
|
Object Detection (I8)
|
52% |
984
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7047
81.0 IPS |
|
|
Face Detection (F16)
|
97% |
12442
142.9 IPS |
|
|
Face Detection (I8)
|
75% |
951
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3329
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
3749
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1833
282.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1832
282.4 IPS |
