iPad13,17
Geekbench ML Score
928
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 09 2022 01:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| 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% |
903
96.8 IPS |
|
|
Image Classification (F16)
|
100% |
889
95.3 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1310
8.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
1305
8.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
1487
9.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
562
2.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
541
2.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
705
2.85 IPS |
|
|
Object Detection (F32)
|
100% |
1529
53.6 IPS |
|
|
Object Detection (F16)
|
100% |
1535
53.9 IPS |
|
|
Object Detection (I8)
|
52% |
381
13.4 IPS |
|
|
Face Detection (F32)
|
100% |
1740
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1730
19.9 IPS |
|
|
Face Detection (I8)
|
75% |
672
7.72 IPS |
|
|
Text Classification (F32)
|
100% |
498
197.0 IPS |
|
|
Text Classification (F16)
|
100% |
911
360.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1892
291.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1887
290.8 IPS |
