iPad13,19
Geekbench ML Score
1995
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 20 2022 01:15 PM |
| Views | 16 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | 3.74 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2357
252.5 IPS |
|
|
Image Classification (F16)
|
100% |
4001
428.7 IPS |
|
|
Image Classification (I8)
|
81% |
643
68.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4419
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7471
46.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1172
7.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
1402
5.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
4598
18.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
223
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
2914
102.3 IPS |
|
|
Object Detection (F16)
|
99% |
3355
117.8 IPS |
|
|
Object Detection (I8)
|
52% |
907
31.8 IPS |
|
|
Face Detection (F32)
|
100% |
3818
43.9 IPS |
|
|
Face Detection (F16)
|
97% |
7645
87.8 IPS |
|
|
Face Detection (I8)
|
75% |
890
10.2 IPS |
|
|
Text Classification (F32)
|
100% |
1562
617.9 IPS |
|
|
Text Classification (F16)
|
98% |
1562
617.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1632
251.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1622
250.0 IPS |
