iPad (8th generation)
Geekbench ML Score
1121
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 08:53 AM |
| Views | 2 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
663
71.0 IPS |
|
|
Image Classification (F16)
|
100% |
1050
112.5 IPS |
|
|
Image Classification (I8)
|
81% |
398
42.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3107
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4801
29.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
705
4.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
1204
4.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
3444
13.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
134
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
1487
52.2 IPS |
|
|
Object Detection (F16)
|
99% |
1602
56.2 IPS |
|
|
Object Detection (I8)
|
52% |
557
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
3184
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5183
59.5 IPS |
|
|
Face Detection (I8)
|
75% |
500
5.74 IPS |
|
|
Text Classification (F32)
|
100% |
651
257.4 IPS |
|
|
Text Classification (F16)
|
98% |
780
308.7 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.5 IPS |
|
|
Machine Translation (F16)
|
100% |
983
151.5 IPS |
