iPad12,2
Geekbench ML Score
1386
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 06:15 PM |
| Views | 36 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad12,2 |
| Model ID | iPad12,2 |
| Motherboard | J182AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.65 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1184
126.9 IPS |
|
|
Image Classification (F16)
|
100% |
1586
170.0 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3421
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5435
33.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
833
5.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
1418
5.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
4406
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1612
56.6 IPS |
|
|
Object Detection (F16)
|
99% |
1864
65.4 IPS |
|
|
Object Detection (I8)
|
52% |
639
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
3608
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5444
62.5 IPS |
|
|
Face Detection (I8)
|
75% |
634
7.29 IPS |
|
|
Text Classification (F32)
|
100% |
958
378.9 IPS |
|
|
Text Classification (F16)
|
98% |
1200
474.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
185.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1199
184.7 IPS |
