iPad (6th generation)
Geekbench ML Score
368
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
383
41.1 IPS |
|
|
Image Classification (F16)
|
100% |
364
39.0 IPS |
|
|
Image Classification (I8)
|
81% |
280
30.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
512
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
464
2.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
498
3.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
393
1.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
403
1.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
112
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
543
19.0 IPS |
|
|
Object Detection (F16)
|
100% |
536
18.8 IPS |
|
|
Object Detection (I8)
|
52% |
384
13.5 IPS |
|
|
Face Detection (F32)
|
100% |
718
8.25 IPS |
|
|
Face Detection (F16)
|
100% |
772
8.87 IPS |
|
|
Face Detection (I8)
|
75% |
370
4.25 IPS |
|
|
Text Classification (F32)
|
98% |
96
38.1 IPS |
|
|
Text Classification (F16)
|
98% |
108
42.8 IPS |
|
|
Machine Translation (F32)
|
100% |
510
78.6 IPS |
|
|
Machine Translation (F16)
|
100% |
574
88.5 IPS |
