iPad14,6
Geekbench ML Score
3434
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 20 2022 01:13 PM |
| Views | 17 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4891
524.0 IPS |
|
|
Image Classification (F16)
|
100% |
6925
742.0 IPS |
|
|
Image Classification (I8)
|
81% |
734
78.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
11159
68.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
16710
103.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1344
8.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
3799
15.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9285
37.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
5246
184.1 IPS |
|
|
Object Detection (F16)
|
100% |
5492
192.7 IPS |
|
|
Object Detection (I8)
|
52% |
1052
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
9389
107.9 IPS |
|
|
Face Detection (F16)
|
97% |
15880
182.4 IPS |
|
|
Face Detection (I8)
|
75% |
1031
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
3663
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
4160
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1951
300.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1959
301.9 IPS |
