iPad13,4
Geekbench ML Score
1196
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 04:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
957
102.6 IPS |
|
|
Image Classification (F16)
|
100% |
956
102.4 IPS |
|
|
Image Classification (I8)
|
81% |
408
43.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1245
7.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
1255
7.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
1724
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
667
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
655
2.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1459
51.2 IPS |
|
|
Object Detection (F16)
|
100% |
1455
51.1 IPS |
|
|
Object Detection (I8)
|
52% |
925
32.5 IPS |
|
|
Face Detection (F32)
|
100% |
1650
19.0 IPS |
|
|
Face Detection (F16)
|
100% |
1643
18.9 IPS |
|
|
Face Detection (I8)
|
75% |
1111
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
1969
778.7 IPS |
|
|
Text Classification (F16)
|
100% |
2088
825.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1883
290.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1873
288.7 IPS |
