iPad (9th generation) iPad12,1
Geekbench ML Score
1382
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 17 2022 02:15 AM |
| Views | 16 |
| Notes | iPad (9th generation)/64GB |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPad12,1 |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1186
127.0 IPS |
|
|
Image Classification (F16)
|
100% |
1576
168.8 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3470
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5433
33.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
1419
5.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
4397
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1523
53.4 IPS |
|
|
Object Detection (F16)
|
99% |
1872
65.7 IPS |
|
|
Object Detection (I8)
|
52% |
642
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
3614
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5249
60.3 IPS |
|
|
Face Detection (I8)
|
75% |
634
7.28 IPS |
|
|
Text Classification (F32)
|
100% |
954
377.2 IPS |
|
|
Text Classification (F16)
|
98% |
1200
474.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1207
186.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1219
187.8 IPS |
