iPad13,2
Geekbench ML Score
875
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| Model | iPad13,2 |
| Model ID | iPad13,2 |
| Motherboard | J308AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.98 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 | 3.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
622
66.6 IPS |
|
|
Image Classification (F16)
|
100% |
622
66.6 IPS |
|
|
Image Classification (I8)
|
81% |
436
46.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
999
6.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
995
6.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
1413
8.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
386
1.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
464
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
738
25.9 IPS |
|
|
Object Detection (F16)
|
100% |
751
26.3 IPS |
|
|
Object Detection (I8)
|
52% |
573
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
1110
12.8 IPS |
|
|
Face Detection (F16)
|
100% |
1103
12.7 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
2344
927.2 IPS |
|
|
Text Classification (F16)
|
100% |
2278
901.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1689
260.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1675
258.1 IPS |
