iPad13,19
Geekbench ML Score
2010
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2023 11:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1 |
| Model | iPad13,19 |
| Model ID | iPad13,19 |
| Motherboard | J272AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2393
256.4 IPS |
|
|
Image Classification (F16)
|
100% |
4023
431.0 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4422
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7427
45.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1173
7.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
1556
6.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
4520
18.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
2884
101.2 IPS |
|
|
Object Detection (F16)
|
99% |
3430
120.4 IPS |
|
|
Object Detection (I8)
|
52% |
909
31.9 IPS |
|
|
Face Detection (F32)
|
100% |
3899
44.8 IPS |
|
|
Face Detection (F16)
|
97% |
7678
88.2 IPS |
|
|
Face Detection (I8)
|
75% |
898
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
1588
627.9 IPS |
|
|
Text Classification (F16)
|
98% |
1583
626.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1620
249.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1622
250.0 IPS |
