iPad (6th generation)
Geekbench ML Score
644
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 21 2022 06:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
617
66.1 IPS |
|
|
Image Classification (F16)
|
100% |
589
63.1 IPS |
|
|
Image Classification (I8)
|
81% |
259
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1508
9.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
2506
15.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
469
2.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
639
2.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
1176
4.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
896
31.5 IPS |
|
|
Object Detection (F16)
|
100% |
1084
38.0 IPS |
|
|
Object Detection (I8)
|
52% |
332
11.7 IPS |
|
|
Face Detection (F32)
|
100% |
1391
16.0 IPS |
|
|
Face Detection (F16)
|
97% |
2655
30.5 IPS |
|
|
Face Detection (I8)
|
75% |
305
3.50 IPS |
|
|
Text Classification (F32)
|
100% |
437
172.9 IPS |
|
|
Text Classification (F16)
|
98% |
587
232.1 IPS |
|
|
Machine Translation (F32)
|
100% |
458
70.6 IPS |
|
|
Machine Translation (F16)
|
100% |
456
70.3 IPS |
