iPad13,17
Geekbench ML Score
2760
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 14 2022 06:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| 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% |
3968
425.1 IPS |
|
|
Image Classification (F16)
|
100% |
4808
515.2 IPS |
|
|
Image Classification (I8)
|
81% |
683
73.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8056
49.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
11642
71.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1233
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
2849
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
6773
27.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
3781
132.7 IPS |
|
|
Object Detection (F16)
|
100% |
3505
123.0 IPS |
|
|
Object Detection (I8)
|
52% |
964
33.8 IPS |
|
|
Face Detection (F32)
|
100% |
7032
80.8 IPS |
|
|
Face Detection (F16)
|
97% |
12284
141.1 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3130
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
3245
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
1814
279.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1814
279.5 IPS |
