iPad14,3
Geekbench ML Score
1243
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 11 2023 10:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad14,3 |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1066
114.2 IPS |
|
|
Image Classification (F16)
|
100% |
1065
114.1 IPS |
|
|
Image Classification (I8)
|
81% |
751
80.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1427
8.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
1412
8.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
1816
11.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
750
3.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
751
3.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
884
3.58 IPS |
|
|
Object Detection (F32)
|
100% |
1680
58.9 IPS |
|
|
Object Detection (F16)
|
100% |
1677
58.9 IPS |
|
|
Object Detection (I8)
|
52% |
1119
39.3 IPS |
|
|
Face Detection (F32)
|
100% |
1951
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
1932
22.2 IPS |
|
|
Face Detection (I8)
|
75% |
1219
14.0 IPS |
|
|
Text Classification (F32)
|
100% |
854
337.7 IPS |
|
|
Text Classification (F16)
|
100% |
893
353.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1911
294.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1914
295.0 IPS |
