iPad13,17
Geekbench ML Score
1006
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 23 2022 10:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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% |
952
102.0 IPS |
|
|
Image Classification (F16)
|
100% |
953
102.1 IPS |
|
|
Image Classification (I8)
|
81% |
377
40.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1348
8.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
1336
8.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
1541
9.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
671
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
671
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
796
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1443
50.7 IPS |
|
|
Object Detection (F16)
|
100% |
1443
50.6 IPS |
|
|
Object Detection (I8)
|
52% |
594
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
1655
19.0 IPS |
|
|
Face Detection (F16)
|
100% |
1632
18.8 IPS |
|
|
Face Detection (I8)
|
75% |
794
9.12 IPS |
|
|
Text Classification (F32)
|
100% |
610
241.4 IPS |
|
|
Text Classification (F16)
|
100% |
616
243.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1825
281.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1831
282.1 IPS |
