iPad13,16
Geekbench ML Score
2829
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 08:48 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4096
438.8 IPS |
|
|
Image Classification (F16)
|
100% |
5445
583.4 IPS |
|
|
Image Classification (I8)
|
81% |
687
73.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8073
49.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
11843
73.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1236
7.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
2861
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6823
27.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
3485
122.3 IPS |
|
|
Object Detection (F16)
|
100% |
4114
144.4 IPS |
|
|
Object Detection (I8)
|
52% |
975
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
7017
80.6 IPS |
|
|
Face Detection (F16)
|
97% |
12411
142.6 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3248
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
3623
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1840
283.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1836
282.9 IPS |
