iPad14,2
Geekbench ML Score
2088
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 08:53 PM |
| Views | 40 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad14,2 |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.93 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 | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2822
302.4 IPS |
|
|
Image Classification (F16)
|
100% |
3946
422.8 IPS |
|
|
Image Classification (I8)
|
81% |
634
67.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
5376
33.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
7178
44.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1116
6.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
1898
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
4786
19.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
219
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
3019
105.9 IPS |
|
|
Object Detection (F16)
|
100% |
3035
106.5 IPS |
|
|
Object Detection (I8)
|
52% |
901
31.6 IPS |
|
|
Face Detection (F32)
|
100% |
5213
59.9 IPS |
|
|
Face Detection (F16)
|
97% |
9343
107.3 IPS |
|
|
Face Detection (I8)
|
75% |
872
10.0 IPS |
|
|
Text Classification (F32)
|
100% |
1245
492.6 IPS |
|
|
Text Classification (F16)
|
100% |
1306
516.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1864
287.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1858
286.4 IPS |
