iPad (8th generation)
Geekbench ML Score
513
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 05:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
473
50.7 IPS |
|
|
Image Classification (F16)
|
100% |
467
50.0 IPS |
|
|
Image Classification (I8)
|
81% |
181
19.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
749
4.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
732
4.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
963
5.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
223
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
217
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
261
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
670
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
671
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
369
12.9 IPS |
|
|
Face Detection (F32)
|
100% |
859
9.87 IPS |
|
|
Face Detection (F16)
|
100% |
814
9.36 IPS |
|
|
Face Detection (I8)
|
75% |
542
6.22 IPS |
|
|
Text Classification (F32)
|
100% |
436
172.3 IPS |
|
|
Text Classification (F16)
|
100% |
441
174.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1003
154.6 IPS |
|
|
Machine Translation (F16)
|
100% |
997
153.7 IPS |
