iPad (8th generation)
Geekbench ML Score
1419
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 08:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4093
438.5 IPS |
|
|
Image Classification (F16)
|
100% |
4100
439.3 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1371
8.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
1361
8.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
714
4.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
7098
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
6995
28.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
138
0.56 IPS |
|
|
Object Detection (F32)
|
94% |
4319
151.6 IPS |
|
|
Object Detection (F16)
|
94% |
4321
151.6 IPS |
|
|
Object Detection (I8)
|
52% |
560
19.6 IPS |
|
|
Face Detection (F32)
|
67% |
4012
46.1 IPS |
|
|
Face Detection (F16)
|
67% |
4013
46.1 IPS |
|
|
Face Detection (I8)
|
75% |
533
6.12 IPS |
|
|
Text Classification (F32)
|
100% |
397
156.9 IPS |
|
|
Text Classification (F16)
|
100% |
373
147.4 IPS |
|
|
Machine Translation (F32)
|
100% |
974
150.2 IPS |
|
|
Machine Translation (F16)
|
100% |
980
151.1 IPS |
