iPad (8th generation)
Geekbench ML Score
1156
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 03:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
987
105.7 IPS |
|
|
Image Classification (F16)
|
100% |
1084
116.1 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3056
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4565
28.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
743
4.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
1208
4.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
3448
14.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1473
51.7 IPS |
|
|
Object Detection (F16)
|
99% |
1541
54.1 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
3217
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
5091
58.5 IPS |
|
|
Face Detection (I8)
|
75% |
548
6.29 IPS |
|
|
Text Classification (F32)
|
100% |
667
263.9 IPS |
|
|
Text Classification (F16)
|
98% |
805
318.2 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.4 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.9 IPS |
