iPad (7th generation)
Geekbench ML Score
412
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 02 2023 12:33 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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% |
279
29.9 IPS |
|
|
Image Classification (F16)
|
100% |
269
28.9 IPS |
|
|
Image Classification (I8)
|
81% |
504
54.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
470
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
479
2.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
909
5.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
155
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
146
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
174
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
395
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
410
14.4 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
549
6.31 IPS |
|
|
Face Detection (F16)
|
100% |
538
6.18 IPS |
|
|
Face Detection (I8)
|
75% |
575
6.61 IPS |
|
|
Text Classification (F32)
|
100% |
515
203.7 IPS |
|
|
Text Classification (F16)
|
100% |
505
199.6 IPS |
|
|
Machine Translation (F32)
|
100% |
585
90.2 IPS |
|
|
Machine Translation (F16)
|
100% |
599
92.3 IPS |
