iPad (8th generation)
Geekbench ML Score
368
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 08 2023 05:59 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad (8th generation) |
| Model ID | iPad11,7 |
| Motherboard | J172aAP |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
272
29.1 IPS |
|
|
Image Classification (F16)
|
100% |
272
29.1 IPS |
|
|
Image Classification (I8)
|
81% |
306
32.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
447
2.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
446
2.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
672
4.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
168
0.68 IPS |
|
|
Object Detection (F32)
|
100% |
400
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
419
14.7 IPS |
|
|
Object Detection (I8)
|
52% |
461
16.2 IPS |
|
|
Face Detection (F32)
|
100% |
503
5.78 IPS |
|
|
Face Detection (F16)
|
100% |
503
5.78 IPS |
|
|
Face Detection (I8)
|
75% |
499
5.73 IPS |
|
|
Text Classification (F32)
|
100% |
465
183.8 IPS |
|
|
Text Classification (F16)
|
100% |
455
180.1 IPS |
|
|
Machine Translation (F32)
|
100% |
651
100.3 IPS |
|
|
Machine Translation (F16)
|
100% |
653
100.7 IPS |
