iPad (7th generation)
Geekbench ML Score
418
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 11:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPad (7th generation) |
| Model ID | iPad7,11 |
| Motherboard | J171AP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
277
29.7 IPS |
|
|
Image Classification (F16)
|
100% |
276
29.5 IPS |
|
|
Image Classification (I8)
|
81% |
525
56.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
488
3.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
907
5.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
159
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
178
0.72 IPS |
|
|
Object Detection (F32)
|
100% |
418
14.7 IPS |
|
|
Object Detection (F16)
|
100% |
432
15.2 IPS |
|
|
Object Detection (I8)
|
52% |
668
23.4 IPS |
|
|
Face Detection (F32)
|
100% |
553
6.35 IPS |
|
|
Face Detection (F16)
|
100% |
535
6.14 IPS |
|
|
Face Detection (I8)
|
75% |
587
6.74 IPS |
|
|
Text Classification (F32)
|
100% |
499
197.4 IPS |
|
|
Text Classification (F16)
|
100% |
512
202.4 IPS |
|
|
Machine Translation (F32)
|
100% |
561
86.5 IPS |
|
|
Machine Translation (F16)
|
100% |
591
91.0 IPS |
