iPad13,19
Geekbench ML Score
868
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2023 11:01 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
666
71.4 IPS |
|
|
Image Classification (F16)
|
100% |
641
68.7 IPS |
|
|
Image Classification (I8)
|
81% |
416
44.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
969
5.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
944
5.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1394
8.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
370
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
363
1.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
440
1.78 IPS |
|
|
Object Detection (F32)
|
100% |
930
32.6 IPS |
|
|
Object Detection (F16)
|
100% |
937
32.9 IPS |
|
|
Object Detection (I8)
|
52% |
716
25.1 IPS |
|
|
Face Detection (F32)
|
100% |
1096
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1062
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
818
9.40 IPS |
|
|
Text Classification (F32)
|
100% |
1937
766.2 IPS |
|
|
Text Classification (F16)
|
100% |
1666
658.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1645
253.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
252.4 IPS |
