iPad13,16
Geekbench ML Score
1010
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 11:05 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
939
100.6 IPS |
|
|
Image Classification (F16)
|
100% |
941
100.8 IPS |
|
|
Image Classification (I8)
|
81% |
376
40.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1333
8.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
1336
8.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
1493
9.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
669
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
655
2.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1469
51.6 IPS |
|
|
Object Detection (F16)
|
100% |
1462
51.3 IPS |
|
|
Object Detection (I8)
|
52% |
631
22.2 IPS |
|
|
Face Detection (F32)
|
100% |
1638
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1641
18.9 IPS |
|
|
Face Detection (I8)
|
75% |
810
9.31 IPS |
|
|
Text Classification (F32)
|
100% |
620
245.1 IPS |
|
|
Text Classification (F16)
|
100% |
651
257.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1819
280.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1827
281.6 IPS |
