iPad13,8
Geekbench ML Score
1016
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 05:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,8 |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 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 | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
940
100.7 IPS |
|
|
Image Classification (F16)
|
100% |
932
99.9 IPS |
|
|
Image Classification (I8)
|
81% |
428
45.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1242
7.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1239
7.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
1549
9.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
667
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
667
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
797
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1462
51.3 IPS |
|
|
Object Detection (F16)
|
100% |
1467
51.5 IPS |
|
|
Object Detection (I8)
|
52% |
637
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
1639
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1650
19.0 IPS |
|
|
Face Detection (I8)
|
75% |
801
9.20 IPS |
|
|
Text Classification (F32)
|
100% |
623
246.6 IPS |
|
|
Text Classification (F16)
|
100% |
686
271.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1845
284.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1842
283.9 IPS |
